{"id":"W3182628311","doi":"10.1001/jamasurg.2021.3050","title":"Artificial Intelligence for Augmenting Perioperative Surgical Decision-Making—Are We There Yet?","year":2021,"lang":"en","type":"letter","venue":"JAMA Surgery","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; McGill University; University Health Network","funders":"","keywords":"Medicine; Otorhinolaryngology; Family medicine; MEDLINE; General surgery; Psychiatry; Law","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":[0.005840719,0.0004493459,0.0004125033,0.0007420559,0.001449158,0.004088365,0.0008195005,0.004904119,0.01050478],"category_scores_gemma":[0.03994372,0.0002713584,0.0006643612,0.0006079345,0.003140733,0.005797608,0.001926822,0.01051453,0.00427277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395884,"about_ca_system_score_gemma":0.002497316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320541,"about_ca_topic_score_gemma":0.003232605,"domain_scores_codex":[0.9969563,0.001815847,0.0002115287,0.0001160088,0.0007140812,0.0001862465],"domain_scores_gemma":[0.9761348,0.01899978,0.000836143,0.0007523063,0.001684521,0.00159238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001293334,0.0002123962,0.006537872,0.0004598047,0.0000792904,0.002988617,0.001122737,0.000746275,0.0002164445,0.0165431,0.6952309,0.2757332],"study_design_scores_gemma":[0.0002349864,0.0003447523,0.006290814,0.004149957,0.0001034271,0.01155028,0.003324731,0.005873344,0.0004169645,0.2284673,0.7391202,0.0001233898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001307033,0.003498942,0.001392331,0.9726722,0.003189174,0.00001911733,0.00002118638,0.00005838066,0.0178417],"genre_scores_gemma":[0.1621762,0.04839442,0.02261998,0.6681793,0.07531165,0.0003140002,0.0001152984,0.0001712525,0.02271794],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01050478,"threshold_uncertainty_score":0.035142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673226580044722,"score_gpt":0.3290404653867834,"score_spread":0.2617178073823112,"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."}}