{"id":"W2952984634","doi":"10.1002/asi.21062","title":"Comparing bibliometric statistics obtained from the Web of Science and Scopus","year":2009,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":791,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Scopus; Web of science; Comparability; Bibliometrics; Citation; Citation impact; Library science; Computer science; Impact factor; Database; Information retrieval; Data science; Statistics; Political science; Mathematics; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0127673,0.0005515539,0.001388182,0.07349165,0.0005772397,0.00479605,0.0006336808,0.0004972286,0.002164477],"category_scores_gemma":[0.1253375,0.0002081777,0.0009645302,0.1048585,0.0008290135,0.003364417,0.002349104,0.0006026737,0.001370405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181771,"about_ca_system_score_gemma":0.001942465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003792459,"about_ca_topic_score_gemma":0.004582591,"domain_scores_codex":[0.9742621,0.006266708,0.004678722,0.001179642,0.01287655,0.0007362244],"domain_scores_gemma":[0.8936571,0.05741387,0.01935969,0.005735436,0.02252825,0.001305551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009933502,0.0002480751,0.7699904,0.002142909,0.003834975,0.0003001629,0.00106015,0.00739191,0.002006816,0.01138833,0.01475507,0.1858878],"study_design_scores_gemma":[0.00006450272,0.0004247208,0.9657683,0.0003043938,0.0006018956,0.0003520213,0.001556256,0.008806158,0.002963572,0.006688727,0.01236003,0.0001093322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052307,0.007883199,0.0137076,0.001018915,0.0004085581,0.0002420901,0.02533578,0.000772341,0.04540085],"genre_scores_gemma":[0.9717435,0.002615313,0.006545187,0.00006724371,0.0002548755,0.0001880136,0.01757471,0.0001042487,0.0009069226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9265084,"threshold_uncertainty_score":0.06752074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2061078137298789,"score_gpt":0.4850023353701993,"score_spread":0.2788945216403204,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}