{"id":"W4391141092","doi":"10.1097/sla.0000000000006211","title":"Surgical Sabermetrics","year":2024,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Défense Nationale; Royal College of Surgeons of Edinburgh; Melville Charitable Trust","keywords":"Medicine; PsycINFO; CINAHL; Context (archaeology); MEDLINE; Teamwork; Cochrane Library; Medical physics; Evidence-based medicine; Inclusion (mineral); Medical education; Surgery; Psychological intervention; Nursing; Randomized controlled trial; Alternative medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004156935,0.0006986813,0.0008110923,0.005022462,0.0009132522,0.002318654,0.001062188,0.00139245,0.05606299],"category_scores_gemma":[0.03009587,0.0003048074,0.001720025,0.003073198,0.0009425274,0.001922911,0.002205763,0.001301022,0.009486605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829921,"about_ca_system_score_gemma":0.005512732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157642,"about_ca_topic_score_gemma":0.002895353,"domain_scores_codex":[0.9944614,0.001790294,0.001042449,0.0003896198,0.002068028,0.0002483387],"domain_scores_gemma":[0.9852186,0.006605858,0.003324305,0.0005888978,0.003131616,0.001130766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001020791,0.0001762728,0.008940072,0.06261436,0.000461834,0.0009185445,0.0004350059,0.0002206991,0.000562744,0.00548909,0.08833753,0.8308231],"study_design_scores_gemma":[0.0007814773,0.001957633,0.0351689,0.1267044,0.001242275,0.01292414,0.002709598,0.0003338348,0.001642757,0.008067382,0.8083584,0.0001091875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.03249064,0.762144,0.003746146,0.01330085,0.01316762,0.001119106,0.00369246,0.000417772,0.1699213],"genre_scores_gemma":[0.2747858,0.6533688,0.009656918,0.01518239,0.006423276,0.00137298,0.004897105,0.0001225559,0.03419025],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05606299,"threshold_uncertainty_score":0.1875494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.417260551964534,"score_gpt":0.4273318695345948,"score_spread":0.01007131757006086,"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."}}