{"id":"W4403850904","doi":"10.1177/08404704241291226","title":"Artificial intelligence governance framework for healthcare","year":2024,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Michael Smith Health Research BC","keywords":"Health care; Computer science; Corporate governance; Field (mathematics); Knowledge management; Applications of artificial intelligence; Process management; Healthcare system; Data science; Artificial intelligence; Management science; Business; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0131642,0.0007147333,0.0006412232,0.002066131,0.002902254,0.01132547,0.002234039,0.005026811,0.00760035],"category_scores_gemma":[0.007981834,0.000359739,0.001031785,0.002455163,0.007485004,0.009255644,0.005060644,0.005190875,0.001803713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006495041,"about_ca_system_score_gemma":0.01045693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008167026,"about_ca_topic_score_gemma":0.006047035,"domain_scores_codex":[0.9912264,0.004363216,0.0007461752,0.001301707,0.001693441,0.0006690687],"domain_scores_gemma":[0.9960818,0.001162998,0.0003959191,0.0007019637,0.001041319,0.0006159808],"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":[8.22899e-7,0.000003856227,0.00003432363,0.000008595929,0.000001566752,0.00001900973,0.00007883079,0.0005703639,0.00001931251,0.9953597,0.00208564,0.001817978],"study_design_scores_gemma":[0.00001192415,0.00001058679,0.0000957534,0.000104852,0.00000601255,0.00007207856,0.0002197761,0.006539259,0.00007329664,0.8665504,0.1263028,0.00001322125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004107348,0.003758636,0.6245786,0.08279689,0.001792159,0.0007452472,0.0004560295,0.000769645,0.2809955],"genre_scores_gemma":[0.3938133,0.004836717,0.5132393,0.01311299,0.002601802,0.002161368,0.001380586,0.0002622104,0.06859191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0131642,"threshold_uncertainty_score":0.06961983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1619490147300172,"score_gpt":0.4565768323953507,"score_spread":0.2946278176653335,"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."}}