{"id":"W1965654071","doi":"10.1111/j.1365-2044.2006.04587.x","title":"Local clinical quality monitoring for detection of excess operative deaths","year":2006,"lang":"en","type":"article","venue":"Anaesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quarter (Canadian coin); Quality (philosophy); Medical emergency; Emergency medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02028657,0.0002238462,0.0004357674,0.002492212,0.0003768949,0.0008234356,0.0006653706,0.0004006483,0.002416621],"category_scores_gemma":[0.06012532,0.0001610727,0.0004017923,0.002264086,0.000558452,0.0009423138,0.0007461516,0.0006437623,0.0005054129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543033,"about_ca_system_score_gemma":0.001123703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002801279,"about_ca_topic_score_gemma":0.003473436,"domain_scores_codex":[0.9786345,0.01326774,0.002332428,0.00119331,0.004207786,0.0003643155],"domain_scores_gemma":[0.9206287,0.03106409,0.02667404,0.00572338,0.01382341,0.002086388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001810439,0.0002858916,0.8685128,0.0004755656,0.0001365044,0.0003018474,0.0005965913,0.001416978,0.004000667,0.0006942156,0.00497851,0.1167901],"study_design_scores_gemma":[0.0002307513,0.005152328,0.9600167,0.0001498556,0.00026087,0.001153981,0.0006301538,0.01617622,0.008921877,0.0009613629,0.006248672,0.00009719324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8717449,0.003513657,0.09729412,0.004648975,0.0003409056,0.001614916,0.001808182,0.001115158,0.01791927],"genre_scores_gemma":[0.984399,0.0002469733,0.01378558,0.0002550374,0.00008794991,0.0002384276,0.0002921535,0.00003259405,0.0006624275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028657,"threshold_uncertainty_score":0.1072869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04963565418614319,"score_gpt":0.3990057261535109,"score_spread":0.3493700719673677,"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."}}