{"id":"W2337101923","doi":"","title":"Systematic reviews on reports of hip fractures in Web of Science: a bibliometric analysis of publication activity.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web of science; Systematic review; China; Citation; Bibliometrics; Scopus; Medicine; Ranking (information retrieval); Library science; Science Citation Index; Meta-analysis; MEDLINE; Geography; Political science; Information retrieval; Computer science; Pathology; Archaeology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0788727,0.001598496,0.007638905,0.1925134,0.001223374,0.005578298,0.00168174,0.001275359,0.003121443],"category_scores_gemma":[0.3107628,0.000982826,0.009795964,0.2155753,0.001240461,0.005397369,0.005215277,0.001172495,0.0005629939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003849047,"about_ca_system_score_gemma":0.009624534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714659,"about_ca_topic_score_gemma":0.00567349,"domain_scores_codex":[0.8463195,0.05220275,0.0616098,0.004833695,0.03380298,0.001231256],"domain_scores_gemma":[0.6223236,0.2457159,0.09384445,0.007389643,0.02884435,0.001882081],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0009952841,0.0001585419,0.3304242,0.3697834,0.04812055,0.0005190341,0.00344159,0.001365101,0.001102134,0.00234326,0.00961908,0.2321279],"study_design_scores_gemma":[0.0008463422,0.001080621,0.6818596,0.1597833,0.08687257,0.003304669,0.006160287,0.004824937,0.001457292,0.007576159,0.04586521,0.0003689963],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1772727,0.7394423,0.01050912,0.004276459,0.0007710964,0.006194537,0.05455343,0.0004626507,0.00651779],"genre_scores_gemma":[0.6375208,0.2742652,0.04556997,0.001049749,0.0008116134,0.01595607,0.02382056,0.0001616448,0.0008444581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9211273,"threshold_uncertainty_score":0.4171237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848952398047475,"score_gpt":0.323310451873466,"score_spread":0.2848209278929913,"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."}}