{"id":"W3088817181","doi":"10.3386/w26334","title":"Marriage, Children, and Labor Supply: Beliefs and Outcomes","year":2019,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Spencer Foundation; Andrew W. Mellon Foundation; National Science Foundation","keywords":"Endogeneity; Graduation (instrument); Panel data; Estimation; Economics; Longitudinal data; Survey data collection; Labour economics; Demographic economics; Econometrics; Sociology; Engineering; Management; Demography; Statistics","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":[0.001847691,0.0001477104,0.0002566702,0.0008117637,0.0007533823,0.001409861,0.0003385649,0.0004603748,0.006256731],"category_scores_gemma":[0.008496367,0.0001721659,0.0002256527,0.0013434,0.0007189302,0.000792405,0.001084167,0.0008489099,0.0005064047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518166,"about_ca_system_score_gemma":0.0005036146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106148,"about_ca_topic_score_gemma":0.01307294,"domain_scores_codex":[0.9993688,0.0002814155,0.00003494364,0.00008010357,0.0001145892,0.0001201531],"domain_scores_gemma":[0.993751,0.002337788,0.002537887,0.0002200095,0.0002109191,0.0009424912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003270409,0.0001117443,0.9934378,0.000009923462,0.00003998961,0.00006448524,0.0008310506,0.0001564471,0.00003521822,0.0006803141,0.0001238682,0.004476455],"study_design_scores_gemma":[0.000005699957,0.00008104181,0.9945516,0.00003527365,0.00002290874,0.00007928241,0.002820705,0.0005030636,0.0000865357,0.001155245,0.0006520826,0.00000664365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995599,0.0005921735,0.0002708505,0.0004432987,0.000004751426,0.000008801873,0.0003832093,0.000002561618,0.002695372],"genre_scores_gemma":[0.9987174,0.0002660542,0.00007965673,0.00003441026,0.000007415889,0.000007557411,0.0002191665,0.00000137483,0.0006669411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01106148,"threshold_uncertainty_score":0.02199423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203158190663776,"score_gpt":0.4577941603897925,"score_spread":0.3374783413234149,"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."}}