{"id":"W2081356678","doi":"10.1097/sla.0000000000000826","title":"Simulation in Surgery","year":2014,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lagging; Medicine; Curriculum; Simulation training; Surgical simulation; Medical education; Simulation; Computer science; 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":[0.002860946,0.0007843804,0.0009110282,0.003141218,0.0004920946,0.003073562,0.001096273,0.001848017,0.02806317],"category_scores_gemma":[0.01329691,0.0002372486,0.0009975034,0.002027899,0.001253483,0.002915484,0.002675864,0.002089363,0.006102257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695397,"about_ca_system_score_gemma":0.005145151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610508,"about_ca_topic_score_gemma":0.003210173,"domain_scores_codex":[0.9964412,0.001653839,0.0004649172,0.0002056073,0.001109386,0.0001251532],"domain_scores_gemma":[0.9937494,0.003453415,0.000651228,0.000230519,0.001470351,0.0004450979],"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":[0.00009220257,0.00005008748,0.0009530888,0.01793776,0.0001136494,0.0001762951,0.0004388553,0.0009782609,0.0003230239,0.02773756,0.1929877,0.7582115],"study_design_scores_gemma":[0.00001262653,0.00006173976,0.0009047344,0.01633446,0.00004787743,0.000801936,0.0002813934,0.0001490506,0.00007812239,0.00491842,0.976396,0.00001352646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008591598,0.9196166,0.003068243,0.01949736,0.01254762,0.0001435012,0.0002412376,0.0001155371,0.04391077],"genre_scores_gemma":[0.01497567,0.9507923,0.004310868,0.009217476,0.008251402,0.00023314,0.0003607451,0.00006957894,0.0117889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02806317,"threshold_uncertainty_score":0.09388071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4274761903215155,"score_gpt":0.4014730221264465,"score_spread":0.02600316819506893,"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."}}