{"id":"W1604501392","doi":"","title":"Welfare Dynamics in Canada: The Role of Individual Attributes and Economic-policy Variables","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Receipt; Spell; Welfare; Dynamics (music); Social assistance; Social Welfare; Public economics; Social policy; Social dynamics; Economics; Longitudinal data; Political science; Economic growth; Sociology; Market economy; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003097144,0.0002922281,0.000607595,0.0004595791,0.000406699,0.000186859,0.001414293,0.0004825627,0.00003017417],"category_scores_gemma":[0.0005332294,0.0002952322,0.00008524836,0.0002409547,0.0008322318,0.0001098582,0.001289715,0.001402141,8.099393e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01350643,"about_ca_system_score_gemma":0.02211783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9488961,"about_ca_topic_score_gemma":0.9952403,"domain_scores_codex":[0.9966495,0.0004976778,0.0007431373,0.0006930202,0.000392102,0.001024562],"domain_scores_gemma":[0.9980511,0.000697938,0.0002721414,0.0006574192,0.0001059729,0.000215419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003323934,0.00008658775,0.6259215,0.0001271466,0.0001490131,0.00001318313,0.008921236,0.06572814,0.000001796995,0.2480477,0.00001520775,0.05095524],"study_design_scores_gemma":[0.001281189,0.00006912302,0.5484897,0.0002897414,0.00003446827,0.000005535954,0.3005904,0.03408188,0.00001123371,0.09262898,0.0214145,0.001103287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264084,0.0005375676,0.000001270702,0.002772108,0.0003590389,0.0008325576,0.001262418,0.000014171,0.06781252],"genre_scores_gemma":[0.984281,0.01493348,0.0001273342,0.00006242124,0.0002062782,0.00008389583,0.000116774,0.00003694258,0.0001518694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916691,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068295957667307,"score_gpt":0.2876097009683842,"score_spread":0.2669267413917111,"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."}}