{"id":"W4237892616","doi":"10.36227/techrxiv.14376179","title":"Explainable, Trustworthy, and Ethical Machine Learning for Healthcare: A Survey","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Qatar National Research Fund; Qatar Foundation","keywords":"Trustworthiness; Interpretability; Transparency (behavior); Computer science; Health care; Robustness (evolution); Black box; Popularity; Field (mathematics); Risk analysis (engineering); Data science; Internet privacy; Engineering ethics; Knowledge management; Artificial intelligence; Computer security; Psychology; Business; Political science; Engineering; Social psychology","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":[0.01424168,0.0005000127,0.0006353129,0.004213525,0.0009437604,0.004129814,0.000871318,0.002259644,0.002455415],"category_scores_gemma":[0.04313159,0.0004164526,0.0006499717,0.004708631,0.003471301,0.00656185,0.001808803,0.002962365,0.0005755907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003001145,"about_ca_system_score_gemma":0.003389534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002089338,"about_ca_topic_score_gemma":0.001743212,"domain_scores_codex":[0.9894757,0.005540137,0.001209871,0.0005766438,0.002849934,0.0003477013],"domain_scores_gemma":[0.9363163,0.05598278,0.00217758,0.00130896,0.003590057,0.0006243643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001060976,0.0001129666,0.01297577,0.007806297,0.000122664,0.0002516489,0.004771866,0.00241332,0.0005644351,0.1665918,0.02005741,0.7842257],"study_design_scores_gemma":[0.00002304313,0.0002777524,0.02015798,0.01811674,0.0001712775,0.002659987,0.008401671,0.007158867,0.001532518,0.222865,0.7184944,0.0001407232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01514167,0.8740046,0.03799066,0.04946025,0.0005651105,0.00009790019,0.0001878165,0.0001233336,0.02242867],"genre_scores_gemma":[0.1443589,0.8340356,0.01341948,0.005173703,0.0009788303,0.0001195716,0.0002323385,0.00008030094,0.001601244],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01424168,"threshold_uncertainty_score":0.0753181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2823105339805553,"score_gpt":0.4696887631527343,"score_spread":0.187378229172179,"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."}}