{"id":"W4401528106","doi":"10.1016/j.amjsurg.2024.115899","title":"Unleashing surgical skills: Ultra-high fidelity trauma thoracotomy training on knowledge donor platform","year":2024,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"St. Paul's Foundation; Flinn Foundation","keywords":"Thoracotomy; Medicine; Simulation training; High fidelity; Medical emergency; Surgery; Anesthesia; Intensive care medicine; Simulation; Computer science; Engineering","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":[0.002572178,0.0002780219,0.0001822232,0.0003144053,0.0009581873,0.001194414,0.000963584,0.0006908509,0.01830089],"category_scores_gemma":[0.003729641,0.0001835076,0.0003600138,0.0001529237,0.0004610997,0.001287115,0.004325887,0.001176343,0.002041297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751017,"about_ca_system_score_gemma":0.003175955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009226882,"about_ca_topic_score_gemma":0.003000719,"domain_scores_codex":[0.9989817,0.0003005578,0.00003672269,0.0001085452,0.0002482876,0.000324232],"domain_scores_gemma":[0.9979979,0.0005032484,0.0001612902,0.0001653553,0.0001621941,0.001009979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001105258,0.02477074,0.04808831,0.0006427825,0.00005205734,0.001575547,0.01113015,0.00430597,0.01442405,0.005310718,0.01776924,0.8708252],"study_design_scores_gemma":[0.001356379,0.05274325,0.4034768,0.006018136,0.0003959883,0.01974739,0.08823592,0.05574843,0.04564447,0.03854287,0.2873584,0.0007320386],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357774,0.0002804419,0.02224063,0.00235109,0.0005929344,0.0005160079,0.000108547,0.0002719663,0.03786096],"genre_scores_gemma":[0.9545255,0.0004697254,0.0305971,0.0009650662,0.0001109265,0.0004145965,0.0001590042,0.00004542367,0.01271263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01830089,"threshold_uncertainty_score":0.06122255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0706011303480637,"score_gpt":0.3473015724379716,"score_spread":0.2767004420899078,"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."}}