{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008994011,0.0002372384,0.0004262071,0.0004963556,0.000208864,0.00005208056,0.0001169634,0.0004072794,0.0005752424],"category_scores_gemma":[0.000151668,0.0002436643,0.0001097089,0.0007081088,0.00008514155,0.0001185284,0.00008990298,0.001150292,0.001426446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460986,"about_ca_system_score_gemma":0.0003812893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003782313,"about_ca_topic_score_gemma":0.004009708,"domain_scores_codex":[0.9966155,0.0001937771,0.00115087,0.000649152,0.0005211179,0.0008695623],"domain_scores_gemma":[0.9983747,0.000252278,0.0001374444,0.0006490586,0.0002354814,0.0003510236],"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":[0.000187714,0.0002487435,0.07363924,0.001095766,0.00002402762,0.00008869569,0.0008039873,0.00005816342,0.00002474387,0.7252365,0.002353328,0.1962391],"study_design_scores_gemma":[0.0002482202,0.002635582,0.04782107,0.001809138,0.00008782349,0.0002171386,0.02661427,0.009668319,0.003500262,0.8760585,0.03010653,0.001233185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1483023,0.0005961337,0.001781797,0.8378459,0.002197621,0.00373726,0.000009948689,0.0002142934,0.005314691],"genre_scores_gemma":[0.9565682,0.0003899965,0.002551659,0.03954563,0.0001758434,0.000179187,0.00005795927,0.00003490402,0.0004966203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8082659,"threshold_uncertainty_score":0.9993511,"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."}}