{"id":"W7036418816","doi":"","title":"Canada's economic apartheid the social exclusion of racialized groups in the new century","year":2006,"lang":"en","type":"other","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Social exclusion; Ethnic group; Race (biology); Inequality; Social inequality; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135064,0.0003512612,0.0006543039,0.001485826,0.02230836,0.008037535,0.001271708,0.002984191,0.02293572],"category_scores_gemma":[0.00447853,0.0002899684,0.000496332,0.003283353,0.00826395,0.00171237,0.00430088,0.005331578,0.001180949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08658186,"about_ca_system_score_gemma":0.2072156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949455,"about_ca_topic_score_gemma":0.9984901,"domain_scores_codex":[0.9966124,0.0002372351,0.0000386324,0.0001604326,0.001235338,0.001716022],"domain_scores_gemma":[0.9967511,0.0002858283,0.0001305547,0.000111022,0.0009851831,0.001736392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001932809,0.00008118351,0.01893532,0.0001799831,0.00004773301,0.0006314295,0.01820549,0.000517328,0.0003717861,0.4018187,0.4571694,0.1018484],"study_design_scores_gemma":[0.00002644165,0.00001510398,0.03402128,0.0002553519,0.00001968386,0.0001311346,0.01209203,0.0002319626,0.0001743504,0.01114363,0.9418417,0.00004726374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1309415,0.01424867,0.000848837,0.3617593,0.003273996,0.00007267875,0.002738979,0.0001302385,0.4859856],"genre_scores_gemma":[0.638213,0.01018089,0.001052522,0.0539958,0.0009201262,0.00006044011,0.0004454656,0.0001606696,0.2949712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08658186,"threshold_uncertainty_score":0.6281983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00890109055571035,"score_gpt":0.2429213538702556,"score_spread":0.2340202633145453,"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."}}