{"id":"W4210946363","doi":"10.1093/polsoc/puac002","title":"COVID-19, poverty reduction, and partisanship in Canada and the United States","year":2022,"lang":"en","type":"article","venue":"Policy and Society","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Poverty; Politics; Development economics; Culture of poverty; Poverty reduction; Political science; Pandemic; Status quo; Social policy; State (computer science); Welfare state; Economic growth; Political economy; Coronavirus disease 2019 (COVID-19); Economics; Basic needs; Disease; Law; Medicine","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":[0.001583938,0.0001291718,0.0003155991,0.001700729,0.01390357,0.004093684,0.0006385049,0.0008258215,0.003987066],"category_scores_gemma":[0.00393717,0.0001256303,0.0001913483,0.00307903,0.006503909,0.0007474027,0.002534633,0.001649929,0.0001035774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07920561,"about_ca_system_score_gemma":0.0791041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912969,"about_ca_topic_score_gemma":0.9961631,"domain_scores_codex":[0.9976376,0.0002553265,0.00002531566,0.00008953235,0.000329694,0.001662553],"domain_scores_gemma":[0.9960971,0.000536745,0.0004344358,0.00007574423,0.0009938922,0.001861986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004324498,0.0003315176,0.5164261,0.0001922283,0.0001471255,0.0008794112,0.08521377,0.002838948,0.0006621073,0.2991449,0.03476506,0.05896642],"study_design_scores_gemma":[0.00003983004,0.00005238221,0.7638953,0.0002658853,0.00005408744,0.00006492492,0.1286754,0.001520164,0.0004274527,0.009901205,0.09502143,0.00008201293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128711,0.002121027,0.0001585688,0.02089231,0.00007953292,0.00003943568,0.0004197432,0.000008475263,0.06340978],"genre_scores_gemma":[0.9968843,0.0005257808,0.00003990532,0.0005742646,0.000009534935,0.00000439749,0.00004587038,0.000002806321,0.001913138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07920561,"threshold_uncertainty_score":0.5746796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619934962159413,"score_gpt":0.323957979571439,"score_spread":0.2877586299498449,"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."}}