{"id":"W2889999169","doi":"10.3386/w9782","title":"The Married Widow: Marriage Penalties Matter!","year":2003,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Australian National University","keywords":"Spouse; Government (linguistics); Pension; Economics; Empirical evidence; Identification (biology); Demographic economics; Labour economics; Public economics; Political science; Law; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001941125,0.0002370191,0.0005470698,0.0007302998,0.002112579,0.002233341,0.000580899,0.001246569,0.02808452],"category_scores_gemma":[0.01528979,0.0001538749,0.0003291568,0.001880115,0.001583351,0.002133997,0.001146602,0.001605633,0.001469705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299078,"about_ca_system_score_gemma":0.002431474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1973204,"about_ca_topic_score_gemma":0.2407627,"domain_scores_codex":[0.9989024,0.0002961188,0.00004524875,0.0001668901,0.0002870066,0.0003022834],"domain_scores_gemma":[0.9923315,0.002685369,0.002930446,0.0003398299,0.0007065345,0.001006274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006295362,0.0002028238,0.7523592,0.0002656858,0.0003922525,0.0004649448,0.005177832,0.0006379865,0.0002872447,0.04719122,0.0587284,0.133663],"study_design_scores_gemma":[0.00007011159,0.0001443755,0.8793579,0.0003856842,0.0004643111,0.0002208322,0.0128176,0.0009340824,0.0004792254,0.03001515,0.07505819,0.00005248172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755795,0.0231071,0.001900779,0.1208192,0.001057469,0.00006971665,0.005562427,0.00006638859,0.09162199],"genre_scores_gemma":[0.9799737,0.003730555,0.0001343544,0.003565081,0.0004611475,0.00001111676,0.0006257894,0.00001568285,0.01148261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1973204,"threshold_uncertainty_score":0.3923438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207333442681609,"score_gpt":0.4805751705316623,"score_spread":0.2598418262635014,"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."}}