{"id":"W3013366797","doi":"10.1097/aln.0000000000003223","title":"Machine Learning Comes of Age","year":2020,"lang":"en","type":"editorial","venue":"Anesthesiology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Artificial intelligence; Generalizability theory; Interpretability; Medicine; Health care; Harm; Novelty; Anesthesiology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003557464,0.0003865011,0.002896389,0.0001533607,0.00004728717,0.000008002599,0.0002111836,0.001216922,0.000237527],"category_scores_gemma":[0.002631658,0.0002975071,0.0008793517,0.0001697776,0.000256683,0.00001908419,0.00006807868,0.001286516,0.0001521907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482987,"about_ca_system_score_gemma":0.000243651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00015469,"about_ca_topic_score_gemma":0.000004479331,"domain_scores_codex":[0.9977145,0.000374048,0.0005791654,0.0004788988,0.0005026265,0.0003507206],"domain_scores_gemma":[0.9950473,0.003957702,0.0002865712,0.0003667166,0.0001371932,0.0002045001],"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":[0.001490768,0.0001422471,0.09337454,0.0009937417,0.0006022027,0.01126738,0.0003839849,0.000005208613,0.000206316,0.000980992,0.8874966,0.003056027],"study_design_scores_gemma":[0.001021318,0.001190099,0.011783,0.00009277419,0.0003941774,0.0001421182,0.00002734864,0.000006469181,0.00004056185,0.00002859836,0.9850298,0.0002437597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.04125069,0.01880607,0.00001218068,0.003579262,0.8859655,0.001606668,0.00009443809,0.0007441406,0.04794108],"genre_scores_gemma":[0.04118087,0.004880975,0.0005199825,0.001621965,0.9234377,0.00004807968,0.003494704,0.0002438013,0.02457198],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09753319,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355746575004805,"score_gpt":0.2710677213962963,"score_spread":0.2575102556462482,"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."}}