{"id":"W1521393078","doi":"10.2139/ssrn.1682135","title":"Race of Recipient and Support for Welfare in Canada","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Race (biology); Welfare; Political science; Public economics; Sociology; Economics; Law; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002633082,0.000222723,0.0009981998,0.002988544,0.01736717,0.005869908,0.002772868,0.002432096,0.01381649],"category_scores_gemma":[0.01185404,0.0004264728,0.0007972923,0.005782724,0.002793645,0.001471577,0.004291909,0.003557729,0.0004717197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09708872,"about_ca_system_score_gemma":0.130432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966063,"about_ca_topic_score_gemma":0.9984506,"domain_scores_codex":[0.9932743,0.0006137916,0.0001805024,0.0003765099,0.001032804,0.004522217],"domain_scores_gemma":[0.9872493,0.001200279,0.001632673,0.0002178887,0.003638637,0.006061177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008866554,0.0004345059,0.8752612,0.0001182725,0.0001950283,0.0006757159,0.02523177,0.0007510851,0.0003423839,0.04462026,0.02400813,0.02747504],"study_design_scores_gemma":[0.00009946707,0.00008484841,0.9201553,0.000324894,0.0001281059,0.0001703221,0.05089682,0.001003148,0.0002499874,0.002857843,0.02390167,0.0001274156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684949,0.001538307,0.00008051969,0.0121421,0.0001020025,0.0000326512,0.001381321,0.0000126209,0.01621561],"genre_scores_gemma":[0.9921137,0.0004422214,0.00005032699,0.0007442902,0.00002324247,0.00001307361,0.0002300551,0.00001184136,0.006371178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09708872,"threshold_uncertainty_score":0.7044313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00819868520276568,"score_gpt":0.2837519816414392,"score_spread":0.2755532964386735,"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."}}