{"id":"W4399451863","doi":"10.2139/ssrn.4854544","title":"Spousal Labor Supply Adjustments to Extended Benefits Weeks: Evidence from Canada","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics; Labour economics; Demographic economics","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":[0.001748196,0.0002709791,0.0006596322,0.001504144,0.004146161,0.002324322,0.002007529,0.00104744,0.007076774],"category_scores_gemma":[0.01117001,0.0004148979,0.0005761709,0.005818691,0.001710666,0.0006610429,0.001630301,0.00139995,0.0004103555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02484328,"about_ca_system_score_gemma":0.03705751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946943,"about_ca_topic_score_gemma":0.996883,"domain_scores_codex":[0.9976985,0.0002790884,0.00008465111,0.0002611217,0.0006380609,0.001038503],"domain_scores_gemma":[0.9895524,0.002095271,0.002770929,0.0004972425,0.003117568,0.001966526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006913095,0.0001712427,0.9698766,0.00008965426,0.000181925,0.0001971225,0.006427621,0.0005186428,0.0001458059,0.001537692,0.004713595,0.01544875],"study_design_scores_gemma":[0.00002380373,0.00002873691,0.9907022,0.00006299855,0.0000397912,0.00001552827,0.005578598,0.0001579894,0.00004515578,0.0001339558,0.003195903,0.00001532573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886518,0.001369986,0.0000888881,0.001201417,0.00002534729,0.00003250206,0.003884922,0.000006909681,0.004738349],"genre_scores_gemma":[0.9922465,0.001278327,0.00008315059,0.0002233634,0.00001473695,0.00002121656,0.001958146,0.000009558483,0.004164968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02484328,"threshold_uncertainty_score":0.1802514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610589195870597,"score_gpt":0.278662161819369,"score_spread":0.262556269860663,"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."}}