{"id":"W6988073270","doi":"","title":"Women and the Canadian Welfare State: Challenges and Change","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Welfare; Government (linguistics); Poverty; Welfare state; Public policy; Work (physics)","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":[0.008481942,0.0005410791,0.0006787769,0.003198831,0.0481567,0.01912785,0.003485981,0.005149879,0.01622227],"category_scores_gemma":[0.010049,0.0003753803,0.0005714611,0.00640627,0.02736541,0.005881548,0.007799798,0.006955619,0.000456065],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1987774,"about_ca_system_score_gemma":0.4284177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935801,"about_ca_topic_score_gemma":0.9973392,"domain_scores_codex":[0.9916142,0.001587933,0.0001038355,0.0004031004,0.001411601,0.004879348],"domain_scores_gemma":[0.9915798,0.001185008,0.0003006564,0.0001241061,0.002392695,0.004417648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001695999,0.0002006802,0.02381217,0.0004162542,0.00006211909,0.0007092755,0.1643088,0.0004845856,0.0004166267,0.5440285,0.1406647,0.1247267],"study_design_scores_gemma":[0.00003646751,0.00003224551,0.02281779,0.0007083862,0.00004139237,0.00006813392,0.4375299,0.0002148226,0.0001850716,0.02201657,0.5162292,0.0001199748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1324103,0.01870555,0.0006969762,0.6716189,0.002374215,0.00009458833,0.0005480417,0.00004702994,0.1735043],"genre_scores_gemma":[0.8769191,0.01561763,0.0009121806,0.04690451,0.0006276279,0.00008526806,0.0001630703,0.00006267463,0.05870788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1987774,"threshold_uncertainty_score":0.9293047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162944279670974,"score_gpt":0.2373442675454497,"score_spread":0.1957148247487399,"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."}}