{"id":"W3010904518","doi":"10.1017/s0008423920000098","title":"The Politics of Minimum Income Protection in the Canadian Provinces","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Poverty; Redistribution (election); Welfare; Economics; Redistribution of income and wealth; Social Welfare; Dominance (genetics); Politics; Social assistance; Salience (neuroscience); Demographic economics; Development economics; Labour economics; Economic growth; Political science; Unemployment; Market economy","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":[0.001458814,0.0001492526,0.0003219094,0.002235781,0.008262626,0.003193995,0.001114798,0.000436615,0.003104054],"category_scores_gemma":[0.004901225,0.0002685261,0.0003242643,0.003817338,0.002591295,0.0005546509,0.001676907,0.001215329,0.0001365696],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1588275,"about_ca_system_score_gemma":0.1351748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973873,"about_ca_topic_score_gemma":0.9986209,"domain_scores_codex":[0.9956819,0.0002568006,0.000059225,0.0001933898,0.001180874,0.002627796],"domain_scores_gemma":[0.9954431,0.0003617044,0.0004330436,0.0001230228,0.002333019,0.001306224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008759846,0.0001076128,0.4517286,0.000457047,0.0001996483,0.0009352161,0.03756643,0.005676158,0.002683087,0.2979726,0.07281259,0.1289851],"study_design_scores_gemma":[0.00003122609,0.0000331165,0.8150332,0.0002061156,0.00004131135,0.00008584672,0.0161838,0.001079394,0.0006293029,0.002986793,0.1636047,0.00008519978],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8527814,0.003065036,0.0005641845,0.01642079,0.00008696547,0.00004563294,0.003686475,0.00004875605,0.1233008],"genre_scores_gemma":[0.9935567,0.0004012729,0.0001754082,0.0002592407,0.000006812849,0.000006176882,0.0003019573,0.000006623472,0.00528581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588275,"threshold_uncertainty_score":0.9756409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044434160735514,"score_gpt":0.3174326179893118,"score_spread":0.2729984572537978,"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."}}