{"id":"W4407383759","doi":"10.1111/itor.13581","title":"Preface to the special issue on “Artificial Intelligence‐driven Decision Making in Health and Medicine”","year":2025,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Carleton University","funders":"","keywords":"Management science; Computer science; Engineering ethics; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005909851,0.002383728,0.002793273,0.004715651,0.00267766,0.01067382,0.002543867,0.004919022,0.07515436],"category_scores_gemma":[0.0365028,0.0007640193,0.002360012,0.003451501,0.002018301,0.005519096,0.00292245,0.01158886,0.03807485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003321066,"about_ca_system_score_gemma":0.00417582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782167,"about_ca_topic_score_gemma":0.002200373,"domain_scores_codex":[0.9946303,0.00111311,0.0005438231,0.0008283255,0.002574523,0.0003098055],"domain_scores_gemma":[0.9548154,0.01928538,0.002163789,0.001866204,0.01741267,0.004456573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001113636,0.00001263404,0.00003997356,0.0001343152,0.000008104726,0.0000205069,0.00002571278,0.0000583935,0.00005305255,0.0008378929,0.9910352,0.007763141],"study_design_scores_gemma":[0.00001609458,0.00004173315,0.0003435818,0.0004456807,0.00001571848,0.0001213596,0.00007386271,0.0003645017,0.00009123889,0.003321324,0.99514,0.00002498904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001419988,0.008675794,0.002098273,0.05488888,0.926275,0.00008316054,0.0003352497,0.0001653419,0.007336258],"genre_scores_gemma":[0.001294465,0.009599336,0.001052022,0.01586392,0.9490186,0.0001054963,0.0004363374,0.0002898764,0.02233991],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07515436,"threshold_uncertainty_score":0.2514164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1946067868390522,"score_gpt":0.5568664299310527,"score_spread":0.3622596430920005,"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."}}