{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.006251432,0.00009712892,0.00109145,0.07788405,0.00001606726,0.0000103755,0.0001342762,0.00007078509,0.00002733592],"category_scores_gemma":[0.02029371,0.00006409065,0.0001885175,0.1329768,0.0001688268,0.0001320903,0.00002258411,0.0001040935,7.754808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005557985,"about_ca_system_score_gemma":0.00008316497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006823261,"about_ca_topic_score_gemma":0.00001739502,"domain_scores_codex":[0.9977461,0.0001631593,0.0009411614,0.0002348955,0.0007227614,0.0001918914],"domain_scores_gemma":[0.9970798,0.000413681,0.001352283,0.0006994003,0.0003506065,0.0001041542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002579119,0.002128198,0.6581865,0.04204197,0.00107747,0.00000950411,0.001197576,0.0001246374,0.01983288,0.000331572,0.001211988,0.2735998],"study_design_scores_gemma":[0.0001863925,0.0000476789,0.983344,0.0004657477,0.0006140047,0.000002933937,0.00001622393,0.0003187748,0.01473459,0.0000201837,0.0002007715,0.00004866237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993203,0.0008259964,0.00007512677,0.0001756243,0.00005552745,0.001431191,0.000002133703,0.000008589856,0.004222757],"genre_scores_gemma":[0.9993042,0.0001139723,0.00004390987,0.00009057279,0.00001731816,0.000355679,0.000005230098,0.000005548621,0.00006361629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3251576,"threshold_uncertainty_score":0.9879588,"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."}}