{"id":"W6989806277","doi":"","title":"Case 6 : Reducing Poverty in Canada: Public Policies & Population Health","year":2015,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Poverty reduction; Basic needs; Population; Distribution (mathematics); Public health; Public policy; Inequality","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":[0.001477208,0.0004661235,0.0003776129,0.0008608564,0.02180785,0.00495226,0.001956484,0.009543241,0.0084667],"category_scores_gemma":[0.003737904,0.0002264687,0.0008741474,0.001483816,0.003888785,0.00135566,0.003215967,0.00760067,0.0004988154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06461983,"about_ca_system_score_gemma":0.2459419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855598,"about_ca_topic_score_gemma":0.9937715,"domain_scores_codex":[0.9960421,0.0002813813,0.00003729011,0.0001152981,0.0007365954,0.00278727],"domain_scores_gemma":[0.9967073,0.0002026882,0.00007653951,0.00004409018,0.000909201,0.002060225],"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":[0.00008921813,0.0003993158,0.02820356,0.0002772859,0.00002193489,0.008654166,0.01859844,0.001961699,0.0008216033,0.2181586,0.6716036,0.05121066],"study_design_scores_gemma":[0.00007256608,0.0001260246,0.02945186,0.0006563629,0.00005030438,0.002576718,0.08838478,0.002238031,0.0008443369,0.02134843,0.8540792,0.0001713533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06827439,0.003022064,0.001832854,0.6868792,0.002915632,0.0005640839,0.0007968571,0.00009817782,0.2356168],"genre_scores_gemma":[0.5197148,0.005102295,0.005259267,0.255917,0.0008339187,0.0003449488,0.0003001195,0.0000634957,0.2124642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06461983,"threshold_uncertainty_score":0.4688519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2403107436590978,"score_gpt":0.3743226924369718,"score_spread":0.134011948777874,"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."}}