{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001904635,0.00008969365,0.0001578624,0.00006217929,0.0004063799,0.0001145074,0.0001789562,0.0001427996,0.00007882636],"category_scores_gemma":[0.00008480476,0.00008437592,0.00006342371,0.00009550449,0.0001964717,0.0001205588,0.00007640868,0.001553091,0.0001047121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092138,"about_ca_system_score_gemma":0.0007139812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424452,"about_ca_topic_score_gemma":0.003783941,"domain_scores_codex":[0.9981314,0.00007732349,0.000196546,0.0001621846,0.0002253615,0.001207171],"domain_scores_gemma":[0.9995854,0.0001198405,0.00009658483,0.00008196936,0.0000454884,0.00007068526],"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":[0.00005874627,0.0000302898,0.08867703,0.000002219216,0.00006998277,0.000003084429,0.006085219,0.0000249762,0.0003308583,0.881815,0.0001781774,0.02272443],"study_design_scores_gemma":[0.001050651,0.0004975405,0.005060151,0.00008549912,0.00006589722,0.00007546132,0.0981357,0.0002264938,0.00008378791,0.8875012,0.006738066,0.0004795784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857784,0.001344909,0.0004017551,0.001679953,0.0002192893,0.0001009725,5.352313e-7,0.00001707928,0.01045712],"genre_scores_gemma":[0.9937695,0.004703955,0.0003086826,0.0002286556,0.0001496965,7.69988e-7,1.869122e-7,0.00001049424,0.000828077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09205049,"threshold_uncertainty_score":0.6747496,"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."}}