{"id":"W1571050306","doi":"","title":"Social Assistance Use in Canada: National and Provincial Trends in Incidence, Entry and Exit","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Context (archaeology); Welfare; Demographic economics; Legislation; Longitudinal data; Incidence (geometry); Geography; Socioeconomics; Demography; Economic growth; Political science; Economics; Sociology; Law","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":[0.0008450481,0.0003787182,0.0006456548,0.004284181,0.003602128,0.002493172,0.001764113,0.0005901598,0.003309886],"category_scores_gemma":[0.003721235,0.0004316772,0.0009751228,0.00920981,0.001386734,0.0007961206,0.002323772,0.001217024,0.0004844264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04006258,"about_ca_system_score_gemma":0.04720309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975526,"about_ca_topic_score_gemma":0.998404,"domain_scores_codex":[0.9981335,0.00008161736,0.00009079262,0.0002073147,0.0005901211,0.000896615],"domain_scores_gemma":[0.9932342,0.0003151342,0.001244684,0.0002017332,0.003269403,0.001734834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001479264,0.00003955438,0.9790776,0.00005920942,0.00005167658,0.00009309044,0.002859005,0.0002825171,0.0002161746,0.000532645,0.003896804,0.0127438],"study_design_scores_gemma":[0.000004026806,0.00001437144,0.9950756,0.00003825985,0.00001047778,0.00004231563,0.002280221,0.0002938075,0.00008039951,0.00003138561,0.002111804,0.00001717844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719247,0.001255892,0.0001631426,0.001134188,0.00001610951,0.00004730881,0.02055545,0.00006193785,0.004841178],"genre_scores_gemma":[0.9855742,0.001043458,0.0002115119,0.000117888,0.000007704873,0.00002213338,0.008419492,0.00002320337,0.004580225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04006258,"threshold_uncertainty_score":0.2906757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04315603686805511,"score_gpt":0.3278671425857326,"score_spread":0.2847111057176775,"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."}}