{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00117222,0.0002031368,0.0004334793,0.0002053131,0.001441451,0.0005797494,0.0007921105,0.0002639542,0.0003761801],"category_scores_gemma":[0.0003647452,0.0002447295,0.0001564088,0.00004226697,0.0006579874,0.0007497205,0.00003925904,0.0003410956,0.00001256174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258987,"about_ca_system_score_gemma":0.002905887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.51845,"about_ca_topic_score_gemma":0.9961696,"domain_scores_codex":[0.9983428,0.00009190047,0.0005321663,0.0002893662,0.000005091746,0.0007387518],"domain_scores_gemma":[0.9965295,0.00008242571,0.000650114,0.0004835672,0.0001985091,0.002055879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000167677,0.00000710673,0.5472341,0.00002023671,0.00009327091,0.0001496129,0.01304522,0.00004863037,0.000001730048,0.4344812,0.0006788648,0.004223195],"study_design_scores_gemma":[0.001405177,0.0002954302,0.508635,0.0001532626,0.0001052008,0.0004659985,0.01936046,0.001026818,0.000006283864,0.2892796,0.1782294,0.001037324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767693,0.0004148568,0.00002616578,0.009347435,0.001505345,0.000165337,0.0003601767,0.000004711272,0.01140672],"genre_scores_gemma":[0.9951545,0.000682997,0.0002495021,0.0005872101,0.001160849,0.00000409824,0.000006126331,0.00002614317,0.002128551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4777195,"threshold_uncertainty_score":0.9998586,"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."}}