{"id":"W3203203418","doi":"10.4018/978-1-7998-7888-9.ch001","title":"Ethics, Health, and AI in a COVID-19 World","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in medical technologies and clinical practice book series","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Meaning (existential); Perspective (graphical); Health care; Context (archaeology); Argument (complex analysis); Epistemology; Coronavirus disease 2019 (COVID-19); Order (exchange); Engineering ethics; Medical ethics; Sociology; Computer science; Management science; Artificial intelligence; Political science; Engineering; Philosophy; Medicine; Law; Business; History","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003405276,0.0002997735,0.001039165,0.000287085,0.000156388,0.00004162465,0.0001747194,0.001618991,0.0002108382],"category_scores_gemma":[0.1008648,0.0002635291,0.0000812423,0.000164737,0.002407291,0.0008883953,0.0002875809,0.006336694,0.000009377096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222521,"about_ca_system_score_gemma":0.003461227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789783,"about_ca_topic_score_gemma":0.008878533,"domain_scores_codex":[0.9962748,0.0002013723,0.001726666,0.0007945088,0.0006144936,0.0003882161],"domain_scores_gemma":[0.9886178,0.009707054,0.0005066649,0.000462101,0.0001779972,0.0005283241],"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":[0.0005317914,0.0001320211,0.001387819,0.001040621,0.00003019664,0.0007102112,0.0003893106,2.472822e-7,6.364201e-8,0.1399633,0.001484742,0.8543296],"study_design_scores_gemma":[0.0001669104,0.0007457538,0.0000280393,0.002530817,0.00003254221,0.0002530895,0.01268893,0.000008083241,0.00000288859,0.1050132,0.8783273,0.0002024857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0000807151,0.3273896,0.0001040602,0.6420467,0.0005688969,0.0005549621,0.000003611045,0.0001881734,0.02906324],"genre_scores_gemma":[0.0007297631,0.8863876,0.002336142,0.09025441,0.0001985779,0.00004145821,0.00002711863,0.00002862785,0.01999632],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8768426,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2067191088688386,"score_gpt":0.5610272940537152,"score_spread":0.3543081851848766,"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."}}