{"id":"W2963764769","doi":"10.2139/ssrn.3318717","title":"Black Box Analytics and Ethical Decision Making","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Feeling; Analytics; Ethical decision; Black box; Big data; Psychology; Data science; Business; Computer science; Social psychology; Data mining; Artificial intelligence","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":[0.02017041,0.0009654463,0.001242268,0.002339882,0.002054484,0.007604279,0.001318602,0.002934907,0.01826591],"category_scores_gemma":[0.07824609,0.0005297218,0.0007439159,0.002113859,0.009509681,0.01481392,0.003393953,0.003754828,0.001261219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385269,"about_ca_system_score_gemma":0.003295742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488764,"about_ca_topic_score_gemma":0.0008919192,"domain_scores_codex":[0.9838684,0.01226938,0.0004378141,0.001015177,0.001810604,0.000598764],"domain_scores_gemma":[0.8527112,0.1259678,0.007141041,0.007877107,0.00458911,0.001713668],"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":[0.00006681368,0.0000537734,0.0008346271,0.00004686649,0.0000164897,0.00003766015,0.0004144816,0.002537449,0.00008828687,0.9803823,0.002065152,0.01345611],"study_design_scores_gemma":[0.000006859736,0.00000593809,0.00007789362,0.0000204383,0.000002953652,0.000007663953,0.0001215594,0.007532414,0.00007911975,0.9911602,0.000980856,0.000004134101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1507608,0.003031747,0.653304,0.03339116,0.0007888819,0.0003053411,0.0004738614,0.0006153811,0.1573288],"genre_scores_gemma":[0.9268105,0.0007681934,0.06030777,0.001083685,0.0002711296,0.0002654446,0.0001426378,0.0001361651,0.01021449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02017041,"threshold_uncertainty_score":0.1066726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058590053167838,"score_gpt":0.3522500567251787,"score_spread":0.3316641561935003,"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."}}