{"id":"W4382651986","doi":"10.1111/itor.13009","title":"Special Issue on “Artificial Intelligence‐Driven Decision Making in Health and Medicine”","year":2023,"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; Artificial intelligence; Clinical decision making; Medicine; Engineering; Intensive care medicine","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":[0.004764834,0.002956601,0.003098949,0.00346317,0.002215366,0.00966289,0.003145978,0.00647877,0.07946416],"category_scores_gemma":[0.01301361,0.000715378,0.00266088,0.002238407,0.002206915,0.005802857,0.003041125,0.007717047,0.03100842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003441599,"about_ca_system_score_gemma":0.003590778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422692,"about_ca_topic_score_gemma":0.002238157,"domain_scores_codex":[0.9955398,0.0008859104,0.0003761575,0.0008303688,0.001958301,0.0004093135],"domain_scores_gemma":[0.9858106,0.006438476,0.0008729649,0.0008426175,0.004189199,0.001846171],"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":[0.00002794147,0.0000286556,0.00006553905,0.0002200092,0.00001606137,0.0000384352,0.00001961607,0.00009984985,0.00009074455,0.002452984,0.9838842,0.01305603],"study_design_scores_gemma":[0.00001896032,0.00004707609,0.0003536105,0.000382342,0.00001917909,0.0001135776,0.00003184996,0.0003761555,0.0001050831,0.003568507,0.9949676,0.0000158838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002739109,0.01950807,0.002067315,0.04239698,0.9010454,0.0001476693,0.0004294786,0.0002147872,0.03391628],"genre_scores_gemma":[0.001460474,0.01530296,0.0007736836,0.01013294,0.9293143,0.0001130276,0.0004939277,0.0001909234,0.04221775],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07946416,"threshold_uncertainty_score":0.2658341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2938501083550533,"score_gpt":0.566804475916299,"score_spread":0.2729543675612457,"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."}}