{"id":"W1979610035","doi":"10.1097/sap.0b013e31827aeb37","title":"Measuring Surgical Competency in Facial Trauma","year":2013,"lang":"en","type":"article","venue":"Annals of Plastic Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Facial trauma; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.003341571,0.0003014444,0.0001965421,0.000885907,0.0002949692,0.0003224319,0.0004514886,0.0003255333,0.002122395],"category_scores_gemma":[0.01088052,0.0001086138,0.0003018248,0.000281772,0.0005983574,0.0003894574,0.001037518,0.0005000517,0.0003987352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00058111,"about_ca_system_score_gemma":0.0006650584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113587,"about_ca_topic_score_gemma":0.001371291,"domain_scores_codex":[0.9979138,0.0006004092,0.0002123703,0.0001355772,0.0009445709,0.000193302],"domain_scores_gemma":[0.9952578,0.001638395,0.00148836,0.0002089854,0.001016004,0.0003905101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000504625,0.0006307437,0.8880208,0.0001674148,0.00005448495,0.0002162473,0.001629465,0.001177048,0.00518709,0.0001534137,0.00055347,0.1017051],"study_design_scores_gemma":[0.00001861169,0.00218785,0.9876913,0.00007846433,0.00001810346,0.001154906,0.001232498,0.001921065,0.004360238,0.0002426241,0.001078027,0.00001634385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966239,0.0001284854,0.001162703,0.00004481138,0.000009791333,0.00009324782,0.00003751501,0.000008602481,0.001891003],"genre_scores_gemma":[0.9978592,0.0000958067,0.001621894,0.00002154813,0.000006196613,0.00006880399,0.0000651341,0.000002357003,0.0002591361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003341571,"threshold_uncertainty_score":0.01767212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1687473440721755,"score_gpt":0.3239174836484072,"score_spread":0.1551701395762317,"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."}}