{"id":"W2976484302","doi":"10.2344/anpr-66-02-07","title":"Mortality and Morbidity in Office-Based General Anesthesia for Dentistry in Ontario","year":2019,"lang":"en","type":"article","venue":"Anesthesia Progress","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Coroner; Mortality rate; Emergency medicine; Pediatrics; Demography; Injury prevention; Poison control; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006964756,0.0002930098,0.0009886358,0.0001761541,0.00003467593,0.00005239637,0.0001231007,0.0002419533,0.00008011833],"category_scores_gemma":[0.00002812552,0.0002587135,0.0002751712,0.0002112337,0.0001342029,0.0001189562,0.00001258082,0.000278513,0.00002232394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983366,"about_ca_system_score_gemma":0.0003325136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052701,"about_ca_topic_score_gemma":0.01334404,"domain_scores_codex":[0.9980149,0.0001166618,0.0004630542,0.000547473,0.0003554017,0.0005025692],"domain_scores_gemma":[0.9989529,0.0002670044,0.0000999255,0.0004413586,0.00005993552,0.0001788784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000641403,0.00032143,0.9932132,0.0002150792,0.00002733155,0.003690235,0.0001516814,0.00002305616,0.00004046753,0.0009963571,0.00003392242,0.00064584],"study_design_scores_gemma":[0.003578497,0.0002313367,0.9585208,0.0001279744,0.00007221248,0.001324224,0.00003363144,0.0004681877,0.000171749,0.00002817174,0.03515857,0.0002846535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995826,0.000394107,0.000005426617,0.001893789,0.00003545802,0.001520533,6.406559e-7,0.00005233679,0.0002716778],"genre_scores_gemma":[0.9958516,0.0000104355,0.001049649,0.001137798,0.00005601475,0.0001887434,0.0000572367,0.00003779685,0.001610694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03512464,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985234801450113,"score_gpt":0.3101378027086628,"score_spread":0.2702854546941617,"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."}}