-
Lund, B.D.; Wang, T.; Mannuru, N.R.; Nie, B.; Shimray, S.; Wang, Z.: ChatGPT and a new academic reality : artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing (2023)
0.49
0.48869652 = sum of:
0.48869652 = product of:
1.5271766 = sum of:
0.079138346 = weight(abstract_txt:fulfill in 1944) [ClassicSimilarity], result of:
0.079138346 = score(doc=1944,freq=1.0), product of:
0.12681323 = queryWeight, product of:
1.1142478 = boost
7.9878955 = idf(docFreq=40, maxDocs=44421)
0.014247886 = queryNorm
0.6240543 = fieldWeight in 1944, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
7.9878955 = idf(docFreq=40, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.085766815 = weight(abstract_txt:generative in 1944) [ClassicSimilarity], result of:
0.085766815 = score(doc=1944,freq=1.0), product of:
0.13379897 = queryWeight, product of:
1.1445266 = boost
8.20496 = idf(docFreq=32, maxDocs=44421)
0.014247886 = queryNorm
0.6410125 = fieldWeight in 1944, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
8.20496 = idf(docFreq=32, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.039029878 = weight(abstract_txt:language in 1944) [ClassicSimilarity], result of:
0.039029878 = score(doc=1944,freq=3.0), product of:
0.06915246 = queryWeight, product of:
1.1636391 = boost
4.1709876 = idf(docFreq=1863, maxDocs=44421)
0.014247886 = queryNorm
0.5644033 = fieldWeight in 1944, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
4.1709876 = idf(docFreq=1863, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.11053012 = weight(abstract_txt:chatbot in 1944) [ClassicSimilarity], result of:
0.11053012 = score(doc=1944,freq=1.0), product of:
0.15845053 = queryWeight, product of:
1.2455075 = boost
8.928879 = idf(docFreq=15, maxDocs=44421)
0.014247886 = queryNorm
0.69756866 = fieldWeight in 1944, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
8.928879 = idf(docFreq=15, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.13330378 = weight(abstract_txt:transformer in 1944) [ClassicSimilarity], result of:
0.13330378 = score(doc=1944,freq=1.0), product of:
0.17952912 = queryWeight, product of:
1.3257662 = boost
9.504243 = idf(docFreq=8, maxDocs=44421)
0.014247886 = queryNorm
0.74251896 = fieldWeight in 1944, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
9.504243 = idf(docFreq=8, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.051702335 = weight(abstract_txt:technology in 1944) [ClassicSimilarity], result of:
0.051702335 = score(doc=1944,freq=2.0), product of:
0.10929756 = queryWeight, product of:
1.7917002 = boost
4.2814875 = idf(docFreq=1668, maxDocs=44421)
0.014247886 = queryNorm
0.47304198 = fieldWeight in 1944, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.2814875 = idf(docFreq=1668, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.103010006 = weight(abstract_txt:requests in 1944) [ClassicSimilarity], result of:
0.103010006 = score(doc=1944,freq=1.0), product of:
0.19047421 = queryWeight, product of:
1.9312238 = boost
6.922344 = idf(docFreq=118, maxDocs=44421)
0.014247886 = queryNorm
0.54080814 = fieldWeight in 1944, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.922344 = idf(docFreq=118, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.92469543 = weight(abstract_txt:chatgpt in 1944) [ClassicSimilarity], result of:
0.92469543 = score(doc=1944,freq=4.0), product of:
0.7474856 = queryWeight, product of:
6.626383 = boost
7.917278 = idf(docFreq=43, maxDocs=44421)
0.014247886 = queryNorm
1.2370746 = fieldWeight in 1944, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
7.917278 = idf(docFreq=43, maxDocs=44421)
0.078125 = fieldNorm(doc=1944)
0.32 = coord(8/25)
-
Aydin, Ö.; Karaarslan, E.: OpenAI ChatGPT generated literature review: : digital twin in healthcare (2022)
0.43
0.42723835 = sum of:
0.42723835 = product of:
1.5258512 = sum of:
0.051460087 = weight(abstract_txt:generative in 1852) [ClassicSimilarity], result of:
0.051460087 = score(doc=1852,freq=1.0), product of:
0.13379897 = queryWeight, product of:
1.1445266 = boost
8.20496 = idf(docFreq=32, maxDocs=44421)
0.014247886 = queryNorm
0.3846075 = fieldWeight in 1852, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
8.20496 = idf(docFreq=32, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
0.030232413 = weight(abstract_txt:language in 1852) [ClassicSimilarity], result of:
0.030232413 = score(doc=1852,freq=5.0), product of:
0.06915246 = queryWeight, product of:
1.1636391 = boost
4.1709876 = idf(docFreq=1863, maxDocs=44421)
0.014247886 = queryNorm
0.43718493 = fieldWeight in 1852, product of:
2.236068 = tf(freq=5.0), with freq of:
5.0 = termFreq=5.0
4.1709876 = idf(docFreq=1863, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
0.114866264 = weight(abstract_txt:chatbot in 1852) [ClassicSimilarity], result of:
0.114866264 = score(doc=1852,freq=3.0), product of:
0.15845053 = queryWeight, product of:
1.2455075 = boost
8.928879 = idf(docFreq=15, maxDocs=44421)
0.014247886 = queryNorm
0.7249346 = fieldWeight in 1852, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
8.928879 = idf(docFreq=15, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
0.21926649 = weight(abstract_txt:openai in 1852) [ClassicSimilarity], result of:
0.21926649 = score(doc=1852,freq=10.0), product of:
0.16322522 = queryWeight, product of:
1.264134 = boost
9.06241 = idf(docFreq=13, maxDocs=44421)
0.014247886 = queryNorm
1.343337 = fieldWeight in 1852, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
9.06241 = idf(docFreq=13, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
0.079982266 = weight(abstract_txt:transformer in 1852) [ClassicSimilarity], result of:
0.079982266 = score(doc=1852,freq=1.0), product of:
0.17952912 = queryWeight, product of:
1.3257662 = boost
9.504243 = idf(docFreq=8, maxDocs=44421)
0.014247886 = queryNorm
0.4455114 = fieldWeight in 1852, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
9.504243 = idf(docFreq=8, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
0.029832747 = weight(abstract_txt:review in 1852) [ClassicSimilarity], result of:
0.029832747 = score(doc=1852,freq=2.0), product of:
0.093025334 = queryWeight, product of:
1.3496312 = boost
4.837664 = idf(docFreq=956, maxDocs=44421)
0.014247886 = queryNorm
0.32069486 = fieldWeight in 1852, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.837664 = idf(docFreq=956, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
1.000211 = weight(abstract_txt:chatgpt in 1852) [ClassicSimilarity], result of:
1.000211 = score(doc=1852,freq=13.0), product of:
0.7474856 = queryWeight, product of:
6.626383 = boost
7.917278 = idf(docFreq=43, maxDocs=44421)
0.014247886 = queryNorm
1.3381008 = fieldWeight in 1852, product of:
3.6055512 = tf(freq=13.0), with freq of:
13.0 = termFreq=13.0
7.917278 = idf(docFreq=43, maxDocs=44421)
0.046875 = fieldNorm(doc=1852)
0.28 = coord(7/25)
-
Zhai, X.: ChatGPT user experience: : implications for education (2022)
0.18
0.17626452 = sum of:
0.17626452 = product of:
1.1016533 = sum of:
0.0147655625 = weight(abstract_txt:well in 1850) [ClassicSimilarity], result of:
0.0147655625 = score(doc=1850,freq=1.0), product of:
0.06053733 = queryWeight, product of:
1.0887449 = boost
3.9025342 = idf(docFreq=2437, maxDocs=44421)
0.014247886 = queryNorm
0.24390839 = fieldWeight in 1850, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
3.9025342 = idf(docFreq=2437, maxDocs=44421)
0.0625 = fieldNorm(doc=1850)
0.0884241 = weight(abstract_txt:chatbot in 1850) [ClassicSimilarity], result of:
0.0884241 = score(doc=1850,freq=1.0), product of:
0.15845053 = queryWeight, product of:
1.2455075 = boost
8.928879 = idf(docFreq=15, maxDocs=44421)
0.014247886 = queryNorm
0.5580549 = fieldWeight in 1850, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
8.928879 = idf(docFreq=15, maxDocs=44421)
0.0625 = fieldNorm(doc=1850)
0.09245087 = weight(abstract_txt:openai in 1850) [ClassicSimilarity], result of:
0.09245087 = score(doc=1850,freq=1.0), product of:
0.16322522 = queryWeight, product of:
1.264134 = boost
9.06241 = idf(docFreq=13, maxDocs=44421)
0.014247886 = queryNorm
0.56640065 = fieldWeight in 1850, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
9.06241 = idf(docFreq=13, maxDocs=44421)
0.0625 = fieldNorm(doc=1850)
0.90601283 = weight(abstract_txt:chatgpt in 1850) [ClassicSimilarity], result of:
0.90601283 = score(doc=1850,freq=6.0), product of:
0.7474856 = queryWeight, product of:
6.626383 = boost
7.917278 = idf(docFreq=43, maxDocs=44421)
0.014247886 = queryNorm
1.2120807 = fieldWeight in 1850, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
7.917278 = idf(docFreq=43, maxDocs=44421)
0.0625 = fieldNorm(doc=1850)
0.16 = coord(4/25)
-
Spannagel, C.: Hat ChatGPT eine Zukunft in der Mathematik? (2023)
0.14
0.13520265 = sum of:
0.13520265 = product of:
1.1266887 = sum of:
0.027040692 = weight(abstract_txt:language in 2059) [ClassicSimilarity], result of:
0.027040692 = score(doc=2059,freq=1.0), product of:
0.06915246 = queryWeight, product of:
1.1636391 = boost
4.1709876 = idf(docFreq=1863, maxDocs=44421)
0.014247886 = queryNorm
0.39103007 = fieldWeight in 2059, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.1709876 = idf(docFreq=1863, maxDocs=44421)
0.09375 = fieldNorm(doc=2059)
0.1386763 = weight(abstract_txt:openai in 2059) [ClassicSimilarity], result of:
0.1386763 = score(doc=2059,freq=1.0), product of:
0.16322522 = queryWeight, product of:
1.264134 = boost
9.06241 = idf(docFreq=13, maxDocs=44421)
0.014247886 = queryNorm
0.849601 = fieldWeight in 2059, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
9.06241 = idf(docFreq=13, maxDocs=44421)
0.09375 = fieldNorm(doc=2059)
0.9609717 = weight(abstract_txt:chatgpt in 2059) [ClassicSimilarity], result of:
0.9609717 = score(doc=2059,freq=3.0), product of:
0.7474856 = queryWeight, product of:
6.626383 = boost
7.917278 = idf(docFreq=43, maxDocs=44421)
0.014247886 = queryNorm
1.2856057 = fieldWeight in 2059, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
7.917278 = idf(docFreq=43, maxDocs=44421)
0.09375 = fieldNorm(doc=2059)
0.12 = coord(3/25)
-
Weiß, E.-M.: ChatGPT soll es richten : Microsoft baut KI in Suchmaschine Bing ein (2023)
0.13
0.12897256 = sum of:
0.12897256 = product of:
1.0747714 = sum of:
0.11053012 = weight(abstract_txt:chatbot in 1867) [ClassicSimilarity], result of:
0.11053012 = score(doc=1867,freq=1.0), product of:
0.15845053 = queryWeight, product of:
1.2455075 = boost
8.928879 = idf(docFreq=15, maxDocs=44421)
0.014247886 = queryNorm
0.69756866 = fieldWeight in 1867, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
8.928879 = idf(docFreq=15, maxDocs=44421)
0.078125 = fieldNorm(doc=1867)
0.16343158 = weight(abstract_txt:openai in 1867) [ClassicSimilarity], result of:
0.16343158 = score(doc=1867,freq=2.0), product of:
0.16322522 = queryWeight, product of:
1.264134 = boost
9.06241 = idf(docFreq=13, maxDocs=44421)
0.014247886 = queryNorm
1.0012643 = fieldWeight in 1867, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
9.06241 = idf(docFreq=13, maxDocs=44421)
0.078125 = fieldNorm(doc=1867)
0.80080974 = weight(abstract_txt:chatgpt in 1867) [ClassicSimilarity], result of:
0.80080974 = score(doc=1867,freq=3.0), product of:
0.7474856 = queryWeight, product of:
6.626383 = boost
7.917278 = idf(docFreq=43, maxDocs=44421)
0.014247886 = queryNorm
1.071338 = fieldWeight in 1867, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
7.917278 = idf(docFreq=43, maxDocs=44421)
0.078125 = fieldNorm(doc=1867)
0.12 = coord(3/25)