{"id":"W2963807857","doi":"10.1177/0840470419850438","title":"Artificial intelligence in healthcare: Ethical considerations","year":2019,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Health professionals; Health care; Function (biology); Knowledge management; Psychology; Computer science; Engineering ethics; Artificial intelligence; Political science; Engineering; Biology","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":[0.08806953,0.000723387,0.001321619,0.001103847,0.009601741,0.01480092,0.002400056,0.03281269,0.00296524],"category_scores_gemma":[0.09564429,0.0004997996,0.0008021783,0.001268181,0.04742542,0.01338391,0.008499806,0.03006358,0.001242857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004643761,"about_ca_system_score_gemma":0.01444579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360013,"about_ca_topic_score_gemma":0.002041012,"domain_scores_codex":[0.910948,0.06365031,0.003385271,0.003220178,0.01525248,0.003543723],"domain_scores_gemma":[0.9092801,0.07154315,0.0033919,0.004558832,0.006573103,0.004652974],"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":[0.00001008788,0.00002502617,0.0001599514,0.00005386344,0.000004990463,0.0001744219,0.003374638,0.0001209837,0.00007754014,0.9640756,0.02397712,0.007945674],"study_design_scores_gemma":[0.00002485988,0.00003741203,0.0002455272,0.0008315406,0.000009040959,0.0006464457,0.003803483,0.0004968966,0.0001169732,0.7764096,0.2173352,0.00004305906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002530559,0.009896276,0.008955829,0.9368776,0.002972581,0.00007405559,0.00002590941,0.00001932866,0.03864793],"genre_scores_gemma":[0.2068989,0.01165071,0.0196903,0.7336026,0.01371663,0.0006238131,0.00004542639,0.00006284392,0.01370877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08806953,"threshold_uncertainty_score":0.4657617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134886106382123,"score_gpt":0.4331735034133877,"score_spread":0.2982873970312647,"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."}}