{"id":"W4411461442","doi":"10.1016/j.ijmedinf.2025.106015","title":"Toward responsible AI governance: Balancing multi-stakeholder perspectives on AI in healthcare","year":2025,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Homewood Research Institute","funders":"","keywords":"Corporate governance; Stakeholder; Health care; Knowledge management; Business; Computer science; Process management; Public relations; Political science; Finance","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":[0.1026072,0.001005312,0.00134483,0.002749444,0.008177082,0.02453297,0.004672473,0.01229999,0.003343582],"category_scores_gemma":[0.07837497,0.0009690828,0.001053558,0.001897011,0.02879244,0.01876,0.01505604,0.01244366,0.0006185498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009397649,"about_ca_system_score_gemma":0.03564887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004044776,"about_ca_topic_score_gemma":0.004837635,"domain_scores_codex":[0.9161889,0.058401,0.002908446,0.00452681,0.01168891,0.006285995],"domain_scores_gemma":[0.8976395,0.06322081,0.006875198,0.008681851,0.01357992,0.0100027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002491493,0.0000647707,0.001147833,0.00009894529,0.00005278179,0.000125948,0.006991688,0.00223516,0.0003242404,0.9770848,0.003082757,0.008766251],"study_design_scores_gemma":[0.00002822208,0.00002378063,0.0003868556,0.0002316291,0.0000217521,0.00007056283,0.006104576,0.005107186,0.000271157,0.9707316,0.01699644,0.00002617027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04589516,0.002939994,0.3698021,0.4304077,0.0009798886,0.0004563318,0.00006314063,0.0001321196,0.1493236],"genre_scores_gemma":[0.9442798,0.0009564859,0.04125755,0.009435798,0.0004985968,0.0002699174,0.00004552775,0.00006455027,0.003191855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1026072,"threshold_uncertainty_score":0.5426453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571413061825803,"score_gpt":0.4752299969105923,"score_spread":0.318088690728012,"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."}}