{"id":"W3124522969","doi":"10.1111/caje.12250","title":"Male wage inequality and marital dissolution: Is there a link?","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Remarriage; Economics; Inequality; Wage; Wage dispersion; Demographic economics; Wage inequality; Labour economics; Dispersion (optics); Economic inequality; Efficiency wage; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006779417,0.00007163243,0.0002216595,0.0006104512,0.0005021098,0.0008461307,0.0003412988,0.0003826436,0.00870261],"category_scores_gemma":[0.004834466,0.00008527572,0.0001343168,0.0008442835,0.0008845393,0.0005766302,0.0008079604,0.0005743261,0.0001955428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004658976,"about_ca_system_score_gemma":0.0003070192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006606793,"about_ca_topic_score_gemma":0.006300208,"domain_scores_codex":[0.9997148,0.0001093651,0.0000114935,0.00003219991,0.00005379566,0.00007848496],"domain_scores_gemma":[0.9970994,0.001175854,0.001133412,0.00009181784,0.0001515768,0.0003480261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002210625,0.0001160524,0.9257007,0.00006376989,0.00007079919,0.0003320544,0.001774692,0.0005863136,0.0002269222,0.03740354,0.001107301,0.03239692],"study_design_scores_gemma":[0.000008421572,0.00009017601,0.9772044,0.00009260033,0.00002547357,0.0003018703,0.00331796,0.001397909,0.0001419495,0.01405645,0.003353728,0.00000909166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753419,0.005120692,0.0008017775,0.007011195,0.00003917228,0.000006520618,0.0001907793,0.00000343692,0.0114846],"genre_scores_gemma":[0.9988344,0.0006259857,0.00003824388,0.00005611401,0.00005943223,0.000001240046,0.00002069385,5.902605e-7,0.0003633394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00870261,"threshold_uncertainty_score":0.02911311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302803706697931,"score_gpt":0.230984992749014,"score_spread":0.1007046220792209,"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."}}