{"id":"W4206913883","doi":"10.1007/s43681-021-00130-8","title":"‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic","year":2022,"lang":"en","type":"article","venue":"AI and Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Environmental ethics; Political science; Psychology; Engineering ethics; Philosophy; Medicine; Engineering","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":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006138701,0.00007069443,0.0001002268,0.00001759688,0.007701104,0.0002288022,0.0004353405,0.0003262585,0.00003750794],"category_scores_gemma":[0.007660183,0.00006136102,0.0000276153,0.0001577445,0.0003962995,0.0003211001,0.0003190284,0.002327063,0.00000185638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003224879,"about_ca_system_score_gemma":0.0009282946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577442,"about_ca_topic_score_gemma":0.02146684,"domain_scores_codex":[0.9985516,0.0005615347,0.0001488732,0.000240796,0.0002919852,0.000205207],"domain_scores_gemma":[0.9911611,0.008054509,0.00007198355,0.0002822609,0.0003282999,0.000101831],"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":[0.000005590725,0.0000163201,0.003642383,0.000008479763,0.00002869846,1.052227e-7,0.1348281,0.000004247666,0.00003869409,0.8434302,0.01610114,0.001896043],"study_design_scores_gemma":[0.0001308284,0.00002468335,0.007041096,0.000009630066,0.00004077342,4.530318e-7,0.009669723,0.0001495685,5.627596e-7,0.5544521,0.4283837,0.00009686962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009771112,0.00207249,0.001095772,0.9831016,0.0002439337,0.0003949027,0.001877882,0.00004981523,0.0013925],"genre_scores_gemma":[0.9310535,0.006244681,0.0001712751,0.06113267,0.0003787717,0.00005491413,0.0001949439,0.00001225009,0.0007569499],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9219689,"threshold_uncertainty_score":0.9999746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4224223452529274,"score_gpt":0.5137424553580007,"score_spread":0.0913201101050733,"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."}}