{"id":"W4362488163","doi":"10.1117/12.2654394","title":"Identifying tool-tissue interactions to distinguish steps in simulated open inguinal hernia repair","year":2023,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workflow; Formative assessment; Minimum bounding box; Ground truth; Computer science; Human–computer interaction; Imaging phantom; Inguinal hernia; Bounding overwatch; Learning curve; Machine learning; Artificial intelligence; Hernia; Medicine; Psychology; Surgery; Database","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":[0.0008853931,0.0004538234,0.0002785537,0.001555446,0.0002220032,0.0006817735,0.0004256701,0.0006350106,0.001532196],"category_scores_gemma":[0.005947051,0.0003376033,0.0003315131,0.0004254166,0.0003686422,0.0004896438,0.0008044434,0.0003570445,0.0003561155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065896,"about_ca_system_score_gemma":0.0004947032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000960121,"about_ca_topic_score_gemma":0.002409559,"domain_scores_codex":[0.9994888,0.0001596928,0.00003758262,0.00007847905,0.0001731713,0.00006232929],"domain_scores_gemma":[0.997956,0.001257672,0.0002448073,0.0001835385,0.0001924117,0.0001655317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003226086,0.0006646544,0.1344919,0.001130174,0.0001715764,0.001179759,0.002635964,0.09337926,0.3353451,0.001598887,0.002874866,0.4233018],"study_design_scores_gemma":[0.00005233558,0.001677796,0.2933099,0.0002808872,0.0001391745,0.003162783,0.001587752,0.5908332,0.1015396,0.002504562,0.004710209,0.0002017873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7735602,0.0005016387,0.2210593,0.0001999814,0.0000881791,0.0002779869,0.0003611125,0.001174527,0.002777081],"genre_scores_gemma":[0.8838779,0.0001821201,0.1146482,0.0000642529,0.00001581983,0.000110239,0.0002752387,0.0001067688,0.0007192989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001555446,"threshold_uncertainty_score":0.005125701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241776722531465,"score_gpt":0.4443347604883039,"score_spread":0.3201570882351574,"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."}}