{"id":"W2000866189","doi":"10.1002/asi.20199","title":"Web citation data for impact assessment: A comparison of four science disciplines","year":2005,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Korea Electrotechnology Research Institute","keywords":"Citation; Web of science; Impact factor; Webometrics; Bibliometrics; Citation analysis; Library science; Multidisciplinary approach; MEDLINE; Computer science; World Wide Web; Medicine; Sociology; Social science; Biology","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0251365,0.001022811,0.002512356,0.07647394,0.0008053719,0.006009606,0.001997303,0.001337968,0.00758414],"category_scores_gemma":[0.2137346,0.0003862101,0.002219514,0.09964103,0.001150594,0.005983823,0.002830015,0.00136738,0.002782609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779691,"about_ca_system_score_gemma":0.00125908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0024504,"about_ca_topic_score_gemma":0.002319466,"domain_scores_codex":[0.9538668,0.0121243,0.006659122,0.001914973,0.02469231,0.0007425558],"domain_scores_gemma":[0.749124,0.1821566,0.03034845,0.01055849,0.02460543,0.003207005],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00366516,0.0007589237,0.576866,0.005678758,0.005903792,0.0004031392,0.001217107,0.008945975,0.002277693,0.01270968,0.01928926,0.3622845],"study_design_scores_gemma":[0.0002652909,0.001287902,0.9141704,0.001081099,0.0009909819,0.0009527249,0.002150737,0.02267143,0.002294847,0.01964749,0.03417091,0.000316042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7623911,0.02470965,0.0444125,0.002083386,0.0009025733,0.00150496,0.1071908,0.002576093,0.05422892],"genre_scores_gemma":[0.943773,0.002734333,0.02068155,0.0001542159,0.0003477578,0.001170542,0.02970801,0.0003372758,0.001093305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9748635,"threshold_uncertainty_score":0.1329361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690158871668467,"score_gpt":0.4042947230918072,"score_spread":0.3473931343751225,"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."}}