{"id":"W2937133415","doi":"10.1145/3313127","title":"That's not fair!","year":2019,"lang":"en","type":"article","venue":"XRDS Crossroads The ACM Magazine for Students","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Law and economics; Sociology","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":[0.0309097,0.0004274733,0.0009882085,0.0009914387,0.005248559,0.007512582,0.001506215,0.005139165,0.007381859],"category_scores_gemma":[0.09262419,0.000250951,0.0005114941,0.0007897636,0.03352837,0.02086215,0.003388281,0.01219247,0.001656192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862038,"about_ca_system_score_gemma":0.004678466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006744951,"about_ca_topic_score_gemma":0.004966907,"domain_scores_codex":[0.9831822,0.007768771,0.0004432394,0.002223337,0.00502076,0.00136164],"domain_scores_gemma":[0.943481,0.03494142,0.002963114,0.005689942,0.009805401,0.003119238],"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":[0.00006876638,0.0000559749,0.002339686,0.0001880082,0.00007537219,0.00006944989,0.002085018,0.000780033,0.0002830816,0.877837,0.0800391,0.03617847],"study_design_scores_gemma":[0.0000139097,0.00002203737,0.0008049154,0.0002090838,0.0000105388,0.00005581992,0.001288924,0.0007258103,0.0001853442,0.9282881,0.06836998,0.00002559308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01266905,0.01316907,0.04791864,0.8535327,0.01139305,0.00005286977,0.0001435013,0.0001385436,0.06098255],"genre_scores_gemma":[0.6583825,0.008833804,0.02834665,0.2601778,0.01309789,0.0002452761,0.0001438552,0.0004966544,0.03027569],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0309097,"threshold_uncertainty_score":0.1634681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921837847880936,"score_gpt":0.4494009140248029,"score_spread":0.3801825355459935,"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."}}