{"id":"W3019000903","doi":"10.1101/2020.04.21.20073544","title":"Approaching Patient-Clinician Relationships Issues Involving Artificial Intelligence Using Ethics of Care and Nursing Ethics","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medical ethics; Medical diagnosis; Health care; Patient care; Engineering ethics; Psychology; Ethical issues; Nursing; Medicine; Psychiatry; Political science; Pathology","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":[0.1865031,0.0005707836,0.00127056,0.004912892,0.004789486,0.0192188,0.002114017,0.008966134,0.004062325],"category_scores_gemma":[0.2496328,0.0006498983,0.001134003,0.004243807,0.03310377,0.01824166,0.01163534,0.01047358,0.0004577601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01194384,"about_ca_system_score_gemma":0.02373268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581147,"about_ca_topic_score_gemma":0.004109598,"domain_scores_codex":[0.6350093,0.3425657,0.006809076,0.002600262,0.01147288,0.001542822],"domain_scores_gemma":[0.3829867,0.580235,0.01452626,0.005418694,0.01457652,0.002256839],"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":[0.00004983199,0.00005169348,0.002679299,0.008176117,0.0001779741,0.001008758,0.07600465,0.0004942117,0.0002061381,0.8215641,0.01758127,0.07200587],"study_design_scores_gemma":[0.00004953473,0.00008705498,0.001863466,0.03799563,0.0001549231,0.001352168,0.08965349,0.0009998237,0.0003849027,0.6337693,0.2336314,0.00005827652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02013991,0.2238632,0.0806248,0.5875502,0.004258496,0.0006986312,0.0001418786,0.00005688933,0.08266597],"genre_scores_gemma":[0.7023702,0.1365505,0.06671538,0.08449565,0.00377271,0.001924452,0.0001147857,0.0000862959,0.003970032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1865031,"threshold_uncertainty_score":0.9863345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6034184312383021,"score_gpt":0.5177138100084319,"score_spread":0.08570462122987021,"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."}}