{"id":"W4411755868","doi":"10.54941/ahfe1006190","title":"Patients over Process: Stratifying Risk in the Design, Development, and Deployment of Artificial Intelligence in Healthcare","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Health care; Process (computing); Computer science; Risk analysis (engineering); Business; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005602489,0.000080023,0.0001188127,0.0002497852,0.00004730272,0.0000173184,0.0001161861,0.00005836632,0.00002174624],"category_scores_gemma":[0.0004186376,0.00006365321,0.00001664218,0.0002919561,0.00004478519,0.00008581268,0.00001945612,0.0002048066,0.000003155804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374713,"about_ca_system_score_gemma":0.00034677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247196,"about_ca_topic_score_gemma":0.001517133,"domain_scores_codex":[0.9987647,0.0000795033,0.0005844296,0.0001809609,0.000255056,0.0001353715],"domain_scores_gemma":[0.9993249,0.0002555273,0.0001157162,0.00009258823,0.0001839497,0.00002730718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001487106,0.0002855251,0.7346151,0.00007711091,0.00001259341,0.000002041947,0.00606497,0.00006549036,0.00002697749,0.002262075,0.00002663808,0.2564128],"study_design_scores_gemma":[0.0001385226,0.0001967884,0.9279082,0.0007698495,0.00001547155,0.000002846168,0.008052222,0.006411406,0.02469255,0.03133921,0.0003328533,0.0001400317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907,0.0001213831,0.005420839,0.002807432,0.0002638658,0.0004827252,0.000002974336,0.000006623652,0.0001941713],"genre_scores_gemma":[0.9978777,0.00007907471,0.001291986,0.000605759,0.00003632926,0.00007191704,0.0000173746,0.000004343769,0.00001550205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2562728,"threshold_uncertainty_score":0.2595703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434838832582309,"score_gpt":0.4446866221559969,"score_spread":0.3012027388977659,"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."}}