{"id":"W4311650614","doi":"10.1101/2022.12.02.22283021","title":"CyclOps: Cyclical development towards operationalizing ML models for health","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hospital for Sick Children; SickKids Foundation; Vector Institute","funders":"","keywords":"Python (programming language); Computer science; Cyclops; Software; Software engineering; Software deployment; Artificial intelligence; Operating system","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":[0.0128894,0.00195647,0.0008347064,0.002074741,0.0008175455,0.005804549,0.00466225,0.001295675,0.01199713],"category_scores_gemma":[0.05846999,0.002450586,0.002836839,0.001317366,0.00235795,0.00513936,0.0101178,0.004810928,0.00590359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689997,"about_ca_system_score_gemma":0.01012293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169916,"about_ca_topic_score_gemma":0.009636068,"domain_scores_codex":[0.9931249,0.002353359,0.0008520515,0.001357667,0.001910345,0.0004016701],"domain_scores_gemma":[0.9737665,0.01304858,0.001108225,0.007957362,0.003129394,0.0009899196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001278825,0.0004036065,0.025942,0.002193819,0.0007379479,0.0008962169,0.003151442,0.1695274,0.01448508,0.2068721,0.2209824,0.3535293],"study_design_scores_gemma":[0.0002145493,0.0001918079,0.002653751,0.0004653096,0.0001311105,0.0003836669,0.0002942734,0.6841785,0.01742743,0.1115476,0.1823502,0.0001617483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003710185,0.0001429194,0.862971,0.0009517123,0.000153457,0.0004839496,0.002574427,0.1259256,0.003086777],"genre_scores_gemma":[0.06784985,0.0004712384,0.8881528,0.0009215618,0.0001347628,0.001259457,0.01484574,0.02362336,0.002741243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0128894,"threshold_uncertainty_score":0.06816649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0836819863969416,"score_gpt":0.3765165697688245,"score_spread":0.2928345833718828,"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."}}