{"id":"W7100237710","doi":"","title":"Employment Insurance and family response to unemployment: Canadian evidence from","year":2004,"lang":"en","type":"article","venue":"","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Government (linguistics); General partnership; Bridge (graph theory); Work (physics); Social insurance; Field (mathematics)","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":[0.006173516,0.000611653,0.0011455,0.003120876,0.005078635,0.001885134,0.002635695,0.001041258,0.008753337],"category_scores_gemma":[0.0246198,0.000594512,0.001421215,0.008600825,0.001667477,0.000715619,0.001883153,0.001296822,0.0003831551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03420739,"about_ca_system_score_gemma":0.06758202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955925,"about_ca_topic_score_gemma":0.9967886,"domain_scores_codex":[0.9954512,0.001149491,0.0004603208,0.0005035001,0.001348915,0.001086675],"domain_scores_gemma":[0.9801696,0.004727276,0.004811372,0.001271125,0.007097917,0.001922767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001442306,0.0002804073,0.9141145,0.002441005,0.001301639,0.0003163415,0.008854811,0.0002090605,0.00005421472,0.002423038,0.01144062,0.05712216],"study_design_scores_gemma":[0.0002059985,0.0001078511,0.9788219,0.002242525,0.0009320224,0.0001198498,0.007119497,0.0002209297,0.00005895503,0.0003184885,0.009791872,0.00006022759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8717899,0.07736635,0.000318025,0.007086611,0.0002139541,0.000399617,0.01944794,0.00001697271,0.02336059],"genre_scores_gemma":[0.9715336,0.0217104,0.0003898615,0.0008702779,0.00004707079,0.0000979226,0.003186139,0.00001006352,0.002154633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03420739,"threshold_uncertainty_score":0.2481931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542913869295077,"score_gpt":0.2934588846429413,"score_spread":0.2580297459499905,"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."}}