{"id":"W4402475035","doi":"10.1109/ccece59415.2024.10667100","title":"Efficient Machine Learning Model Deployment in Clinical Decision Support Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Langara College","funders":"","keywords":"Software deployment; Computer science; Decision support system; Decision model; Artificial intelligence; Clinical decision support system; Machine learning; Software engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004895871,0.0001757157,0.0003709167,0.0002449308,0.0003584643,0.00002680446,0.0002022234,0.0003469488,0.0007676102],"category_scores_gemma":[0.0007945148,0.0001351979,0.0001065121,0.0003656025,0.00004369555,0.00004840993,0.0002075582,0.001925412,0.004134883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555275,"about_ca_system_score_gemma":0.0007007102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00353151,"about_ca_topic_score_gemma":0.003108681,"domain_scores_codex":[0.9954394,0.0007987071,0.0020598,0.0005654938,0.000454334,0.0006823011],"domain_scores_gemma":[0.9964694,0.00270062,0.0001099329,0.0003315842,0.0001327131,0.0002557046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001532232,0.0001723437,0.3068447,0.0007182239,0.00001663556,0.0001377456,0.004341723,0.6070518,0.00002683296,0.02232414,0.006163068,0.05204957],"study_design_scores_gemma":[0.0001003263,0.0001046834,0.0006396052,0.0007728902,0.000006916069,0.000002255577,0.002137577,0.9860659,0.000005778993,0.0005428339,0.009485477,0.0001358132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931725,0.001582187,0.08528451,0.001422486,0.0059302,0.001838455,0.00001637326,0.0007619685,0.009991327],"genre_scores_gemma":[0.9909266,0.0001728758,0.001160188,0.0004693503,0.000293713,0.0001691425,0.00001222978,0.00005266383,0.006743297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379014,"threshold_uncertainty_score":0.9966405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2662688734158786,"score_gpt":0.5582197893743303,"score_spread":0.2919509159584516,"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."}}