{"id":"W2261979832","doi":"10.1136/bmjqs-2014-003816","title":"Characterising ‘<i>near miss</i>’ events in complex laparoscopic surgery through video analysis","year":2015,"lang":"en","type":"article","venue":"BMJ Quality & Safety","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Laparoscopic surgery; Video recording; Laparoscopy; Surgery; General surgery; Medical physics; Multimedia; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003069157,0.000177203,0.0009375103,0.0001213303,0.00008189963,0.0000196528,0.000072574,0.0001133455,0.0005984686],"category_scores_gemma":[0.001059017,0.0001593547,0.0003118927,0.001031159,0.00006593674,0.0001652827,0.00004482151,0.0002013592,0.00009283152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546193,"about_ca_system_score_gemma":0.0002154359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007695554,"about_ca_topic_score_gemma":0.0001117952,"domain_scores_codex":[0.9969806,0.00050395,0.001269509,0.0003533513,0.0005536513,0.0003389342],"domain_scores_gemma":[0.9982482,0.000762535,0.0002294403,0.0003824152,0.0001258219,0.0002515886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008601589,0.0002220879,0.9929779,0.00006349812,0.000267619,0.00003825365,0.001587845,0.000276953,0.00007364347,0.0001438388,0.0001820895,0.003306173],"study_design_scores_gemma":[0.003308428,0.00002050704,0.9735852,0.00008955489,0.0001574831,0.000004098254,0.0005081946,0.001726655,0.00003977018,0.0002010605,0.02016686,0.0001921587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991623,0.00006177732,0.0007280269,0.002802522,0.0001458181,0.0003289001,0.00001933553,0.00009276893,0.004197858],"genre_scores_gemma":[0.9964588,0.00001472198,0.0005240621,0.002166615,0.0001316582,0.000009268839,0.000518046,0.0000160894,0.0001606875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01998477,"threshold_uncertainty_score":0.6552811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2571241790039216,"score_gpt":0.4480931439510909,"score_spread":0.1909689649471693,"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."}}