{"id":"W4388494039","doi":"10.1016/j.healthpol.2023.104938","title":"AI maturity in health care: An overview of 10 OECD countries","year":2023,"lang":"en","type":"article","venue":"Health Policy","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université de Montréal; Université du Québec","funders":"","keywords":"Maturity (psychological); Health care; Government (linguistics); Capability Maturity Model; Business; Political science; Economic growth; Computer science; Economics","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":[0.00336419,0.0006880088,0.000440542,0.01053141,0.0009431913,0.004780625,0.0004805113,0.0006805524,0.002630608],"category_scores_gemma":[0.004289057,0.0001893688,0.0005543647,0.02173685,0.0009571476,0.002023723,0.001758925,0.0007816628,0.0003310182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00920125,"about_ca_system_score_gemma":0.008019019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04730539,"about_ca_topic_score_gemma":0.02179481,"domain_scores_codex":[0.9983852,0.000424402,0.0002378823,0.000107911,0.0004569989,0.0003876148],"domain_scores_gemma":[0.9962339,0.001498293,0.0006746106,0.0001010555,0.001227302,0.0002649407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000538309,0.0002083018,0.09765287,0.005609255,0.000233772,0.0008252103,0.003400713,0.004232161,0.0006663261,0.1465568,0.03697469,0.7031016],"study_design_scores_gemma":[0.00005478173,0.0002727661,0.2908221,0.008259486,0.0003393833,0.000911699,0.01587928,0.001161294,0.001374754,0.02103166,0.659821,0.00007180953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2155841,0.5191457,0.003688979,0.02337621,0.0007751075,0.0002397598,0.01011492,0.0002339857,0.2268413],"genre_scores_gemma":[0.5815724,0.3955138,0.007631192,0.00232089,0.0003166041,0.0002975426,0.00463998,0.00008447465,0.007623031],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04730539,"threshold_uncertainty_score":0.09406012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3543788466737132,"score_gpt":0.5956670926013276,"score_spread":0.2412882459276144,"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."}}