{"id":"W3082287927","doi":"10.1016/j.jtcvs.2020.07.102","title":"Machine learning and readmission: Do we need new methods to solve old problems?","year":2020,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; MEDLINE; Machine learning; Intensive care medicine; Artificial intelligence","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":[0.01438017,0.0009431065,0.0025507,0.001595574,0.003269588,0.006172431,0.002328887,0.03077694,0.007632225],"category_scores_gemma":[0.1056165,0.0006129707,0.001458919,0.001479831,0.006104892,0.01240283,0.002420021,0.04567755,0.003688659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003338649,"about_ca_system_score_gemma":0.007084031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005212707,"about_ca_topic_score_gemma":0.01047093,"domain_scores_codex":[0.9918091,0.004292721,0.001061853,0.0006327743,0.001792965,0.0004105805],"domain_scores_gemma":[0.877838,0.09278893,0.005195971,0.002770801,0.01366139,0.007744828],"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":[0.00009596138,0.0001476807,0.004219383,0.0002851209,0.0001132149,0.0006927234,0.0002158281,0.0002853023,0.00007351905,0.01600966,0.8856699,0.09219166],"study_design_scores_gemma":[0.0005554401,0.000271455,0.007655845,0.003872111,0.0002180411,0.003192614,0.001970385,0.007322561,0.000214888,0.3625515,0.6118609,0.0003142534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001225969,0.001743031,0.0002358673,0.9932713,0.004186897,0.000002544203,0.0000155711,0.000007331507,0.0004148521],"genre_scores_gemma":[0.005920439,0.008757384,0.002359962,0.8275234,0.1530361,0.0000498265,0.0000504073,0.00002938555,0.002273041],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03077694,"threshold_uncertainty_score":0.07605052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03388849326597811,"score_gpt":0.3197777718541999,"score_spread":0.2858892785882218,"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."}}