{"id":"W4405717938","doi":"10.1109/access.2024.3521279","title":"MLHOps: Machine Learning Health Operations","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; St. Michael's Hospital; Vector Institute","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.02752915,0.001641549,0.001004902,0.003586686,0.001604047,0.01080187,0.006078447,0.002342421,0.04172178],"category_scores_gemma":[0.11276,0.001827442,0.001427418,0.003007703,0.003980381,0.01445133,0.01302268,0.005732464,0.02537577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524952,"about_ca_system_score_gemma":0.007299336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344836,"about_ca_topic_score_gemma":0.001864476,"domain_scores_codex":[0.9823032,0.006844144,0.002310074,0.001979547,0.005525491,0.001037658],"domain_scores_gemma":[0.9148545,0.04128462,0.00450002,0.02713024,0.009037787,0.003192886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001096064,0.0003707431,0.005739335,0.001161892,0.0001290788,0.000645569,0.003421717,0.01513361,0.003512019,0.2330398,0.336852,0.3988983],"study_design_scores_gemma":[0.000284244,0.0003720752,0.002685505,0.0009834688,0.00006061886,0.0008496203,0.0008890172,0.1177118,0.01543679,0.2881344,0.5723166,0.0002758027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006196115,0.0006052343,0.7944958,0.007836692,0.0005603054,0.002091628,0.007485394,0.150631,0.03009786],"genre_scores_gemma":[0.1423977,0.001443139,0.7578943,0.004722281,0.0008425384,0.003329429,0.02881889,0.03858061,0.02197122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04172178,"threshold_uncertainty_score":0.1455898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04730497226859025,"score_gpt":0.3905067011738867,"score_spread":0.3432017289052965,"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."}}