{"id":"W4323354418","doi":"10.1145/3564623","title":"OER for Ethics and Computing Open Access Collection","year":2023,"lang":"en","type":"book","venue":"ACM eBooks","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Syllabus; Computer science; Context (archaeology); Process (computing); Task (project management); Set (abstract data type); Engineering ethics; Data science; World Wide Web; Mathematics education; Engineering; 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":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004484343,0.0001635793,0.0003233151,0.00009415176,0.003371345,0.002578187,0.001645226,0.001142928,0.00001497682],"category_scores_gemma":[0.007490101,0.0001772718,0.00008393022,0.00005990476,0.0004577413,0.0002589725,0.00170143,0.001237611,0.00001066895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231881,"about_ca_system_score_gemma":0.003363648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004767672,"about_ca_topic_score_gemma":0.02542614,"domain_scores_codex":[0.9984697,0.000225404,0.0002222499,0.0003322996,0.0004043741,0.0003459852],"domain_scores_gemma":[0.9943702,0.004500037,0.0002289406,0.0002457924,0.0005077592,0.0001472751],"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":[0.00002151341,0.000007179221,0.00002483441,0.0001689863,0.0001094493,0.000004235305,0.07171676,7.024e-7,0.000003114939,0.5110776,0.406185,0.01068063],"study_design_scores_gemma":[0.0001747202,0.00003509593,0.00004833335,0.0001671341,0.00003611254,1.65793e-7,0.0009665685,0.000006016962,0.000003833775,0.5080731,0.4902969,0.0001920107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008925991,0.00004292189,0.00007576008,0.0131978,0.001129708,0.001343722,0.00003086987,0.0001284316,0.9839615],"genre_scores_gemma":[0.001451429,0.0001914515,0.0004460551,0.002413361,0.001164203,0.00002982777,0.0000237664,0.00005883881,0.9942211],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08411193,"threshold_uncertainty_score":0.9984573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4512818010744852,"score_gpt":0.554812576344325,"score_spread":0.1035307752698398,"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."}}