{"id":"W2047913789","doi":"10.1086/506486","title":"The Relationship between Women's Education and Marriage Outcomes","year":2006,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Quarter (Canadian coin); Economics; Marital status; Demographic economics; Distribution (mathematics); Marriage market; Consumption (sociology); Labour economics; Demography; Sociology; Population; Geography","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":[0.0007830278,0.0001558518,0.0002173052,0.001262951,0.0003843185,0.0005826848,0.0003050181,0.0002691787,0.005662279],"category_scores_gemma":[0.006721935,0.0001217106,0.0002734092,0.001532848,0.0003706351,0.0004334515,0.0007551713,0.0006061046,0.0004329754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528217,"about_ca_system_score_gemma":0.000380459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494115,"about_ca_topic_score_gemma":0.02144502,"domain_scores_codex":[0.9995751,0.0001262658,0.0000329403,0.00005275896,0.00009133657,0.0001216259],"domain_scores_gemma":[0.9952316,0.001436115,0.002327563,0.0001060823,0.0002814418,0.0006171673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002964048,0.00005262523,0.9959182,0.000007164929,0.00003390318,0.00005125432,0.0001446307,0.0002189911,0.00003265569,0.0004441023,0.0001867195,0.002880088],"study_design_scores_gemma":[0.000003975028,0.00004956166,0.9980968,0.000008578285,0.00001453535,0.00006365985,0.0002305384,0.0005327376,0.00005530774,0.0003713979,0.000568969,0.00000395306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957569,0.000349017,0.0001772047,0.0002645054,0.000008698236,0.000008209809,0.0009347509,0.000004350302,0.002496314],"genre_scores_gemma":[0.9986017,0.0001844158,0.00006200304,0.00002256599,0.000008760921,0.000005688468,0.0004900629,0.000001160593,0.0006235352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494115,"threshold_uncertainty_score":0.02970839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122722865320377,"score_gpt":0.2847991915728035,"score_spread":0.2635719629195998,"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."}}