{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005702763,0.0001431721,0.0001642008,0.0002047871,0.0004125927,0.001319827,0.001270215,0.00004985115,0.00008415166],"category_scores_gemma":[0.00008712576,0.0001287138,0.00005374001,0.0008088239,0.00002087478,0.001139057,0.0002553641,0.0006854807,0.0002594665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104905,"about_ca_system_score_gemma":0.000342901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506094,"about_ca_topic_score_gemma":0.0004348646,"domain_scores_codex":[0.9982961,0.0002613353,0.0002871109,0.0005010191,0.0002891179,0.0003652759],"domain_scores_gemma":[0.9991311,0.00014951,0.00003644422,0.0004572882,0.00006145112,0.0001642073],"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":[0.000005498702,0.00009144832,0.02250915,0.001090385,0.00007089537,0.0002068769,0.007714582,0.2477841,0.0001917147,0.1435624,0.01804442,0.5587285],"study_design_scores_gemma":[0.00006949063,0.0000786898,0.001512651,0.0001040737,0.00000181432,0.0000384763,0.000007077121,0.9326054,0.00008851913,0.0006647018,0.06467071,0.0001583707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01008307,0.004631328,0.9390009,0.03875292,0.003138182,0.0003054336,0.00000687029,0.001861493,0.002219797],"genre_scores_gemma":[0.9863685,0.0001552712,0.009137683,0.002373475,0.0003391226,0.00003702271,0.00001279866,0.00002629008,0.00154978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9762855,"threshold_uncertainty_score":0.9997169,"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."}}