{"id":"W4313493902","doi":"10.1302/3114-222007","title":"Surgeon Volume in its Relationship to Revision Rates per Cementless and Cemented Hip Fractures in Canada","year":2023,"lang":"en","type":"dataset","venue":"OrthoMedia","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Medicine; Total hip arthroplasty; Orthodontics; Dentistry; Geology; Surgery; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099901,0.001153764,0.001566728,0.004811396,0.001038389,0.002235663,0.002916252,0.001498293,0.01522281],"category_scores_gemma":[0.01344537,0.0009196825,0.002944226,0.0152239,0.000572346,0.0008872688,0.001539598,0.002133145,0.004794753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0145773,"about_ca_system_score_gemma":0.03532699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867238,"about_ca_topic_score_gemma":0.9853807,"domain_scores_codex":[0.9975981,0.0001281543,0.0003227821,0.0004390637,0.0007768519,0.0007351089],"domain_scores_gemma":[0.9887628,0.00120339,0.002204069,0.0005227083,0.005915215,0.001391858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006760452,0.00006515389,0.2480488,0.001195355,0.001153816,0.0001367353,0.0001781797,0.004206994,0.00009217949,0.001451693,0.7339183,0.008876652],"study_design_scores_gemma":[0.0007933688,0.00006408768,0.7867194,0.001428225,0.0009334369,0.0003676641,0.000769117,0.005961597,0.000508285,0.0008071485,0.2014798,0.0001678682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008934745,0.0009388689,0.0001034607,0.0004742632,0.00004514995,0.00001846181,0.9882324,0.0001342012,0.00111844],"genre_scores_gemma":[0.07380348,0.002001073,0.0004659214,0.0005729276,0.00007297067,0.0001345689,0.9166901,0.000121755,0.00613725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01522281,"threshold_uncertainty_score":0.1057662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267260723133365,"score_gpt":0.3010829579593168,"score_spread":0.2784103507279831,"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."}}