{"id":"W2020516125","doi":"10.15185/izawol.77","title":"Human capital effects of marriage payments","year":2014,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Payment; Human capital; Economics; Business; Labour economics; Monetary economics; Finance; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001162987,0.0003460119,0.000384831,0.0008731639,0.0009753624,0.001700215,0.0003604785,0.0008696428,0.03848099],"category_scores_gemma":[0.007605046,0.0001791781,0.0005036463,0.0009754447,0.0007299978,0.0008795057,0.001571402,0.001187861,0.001353928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698258,"about_ca_system_score_gemma":0.001439031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016198,"about_ca_topic_score_gemma":0.01982879,"domain_scores_codex":[0.9991431,0.0002543461,0.00001896057,0.0000710973,0.0001024717,0.0004100433],"domain_scores_gemma":[0.9947088,0.002252519,0.0009391553,0.0002259396,0.0004125733,0.00146105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005538934,0.002913226,0.5745575,0.0002865735,0.0005683672,0.002218398,0.003113639,0.0100226,0.003122516,0.1874534,0.02134912,0.1888557],"study_design_scores_gemma":[0.0002182546,0.0008971622,0.9048031,0.0001425868,0.000351114,0.0003035551,0.002523194,0.003246204,0.001433475,0.04591418,0.04011916,0.00004790158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868498,0.003113025,0.0007210308,0.00910983,0.0001696471,0.0000672455,0.00279431,0.00006191916,0.115465],"genre_scores_gemma":[0.9838807,0.0006309137,0.00007721226,0.0002599034,0.00004218856,0.000009268074,0.0002363313,0.000006339837,0.01485719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03848099,"threshold_uncertainty_score":0.1287318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294763456250664,"score_gpt":0.2914531823360352,"score_spread":0.2785055477735285,"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."}}