{"id":"W3014437032","doi":"10.29173/cjs29658","title":"Eubanks, Virginia, Automating Inequality","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Political Economy and Marxism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inequality; Sociology; Mathematical economics; Economics; Mathematics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001118252,0.0009095308,0.0009085836,0.003416389,0.00185913,0.003791776,0.001461811,0.002516304,0.03638599],"category_scores_gemma":[0.004654412,0.0007025988,0.0003957242,0.006790865,0.001943258,0.004690944,0.001303196,0.002340187,0.01508078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003702442,"about_ca_system_score_gemma":0.006216922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05543942,"about_ca_topic_score_gemma":0.08998553,"domain_scores_codex":[0.9992546,0.0001469252,0.00005018446,0.0001020036,0.0003635417,0.00008268278],"domain_scores_gemma":[0.9983305,0.0007881703,0.00008599886,0.00006833644,0.0006367716,0.00009011821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001442974,0.000009786379,0.00006322742,0.0004047849,0.000007790009,0.00001023157,0.00004574323,0.0001045864,0.00003341604,0.01672233,0.8722706,0.1103131],"study_design_scores_gemma":[0.000005115932,0.000003585509,0.0003388199,0.0007759715,0.000006179579,0.00002809245,0.00005186063,0.00003940524,0.00004625371,0.006857025,0.9918418,0.000005751393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000169674,0.9089413,0.001261417,0.02469316,0.006557064,0.00001724003,0.0006815089,0.0001883774,0.05749039],"genre_scores_gemma":[0.00498974,0.867721,0.001767683,0.01075957,0.004108788,0.0001106522,0.001028135,0.0002744135,0.1092399],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05543942,"threshold_uncertainty_score":0.1217232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06591507618490075,"score_gpt":0.3174640598816454,"score_spread":0.2515489836967447,"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."}}