{"id":"W2120489314","doi":"10.2139/ssrn.291170","title":"The Timing of Births: A Marriage Market Analysis","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Economics; Actuarial science; Demographic economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004939458,0.00009563188,0.0001790842,0.0001524914,0.001020581,0.00009382998,0.0004736674,0.00007266665,0.0001432049],"category_scores_gemma":[0.0001880082,0.00006977734,0.0002371908,0.001153571,0.0001675916,0.0001215188,0.00002577362,0.0007105554,0.000005575418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837354,"about_ca_system_score_gemma":0.001747514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009217883,"about_ca_topic_score_gemma":0.04122671,"domain_scores_codex":[0.9970899,0.0003175692,0.0002839589,0.0001264275,0.0004512631,0.001730862],"domain_scores_gemma":[0.9991956,0.0001866492,0.0002111887,0.0001726623,0.0001441766,0.00008970628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001489077,0.000142116,0.4184285,0.000005173683,0.003424141,0.00001610364,0.01296922,0.0003114441,0.0001172332,0.5137695,0.001000194,0.04966747],"study_design_scores_gemma":[0.001076627,0.0002874128,0.1213526,0.00002055515,0.001297868,0.00009052853,0.2913972,0.004624447,0.000005312534,0.5152065,0.06407709,0.0005639005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002607,0.004938284,0.01467755,0.001735601,0.0003935789,0.00014462,0.000003887997,0.00003585304,0.07780989],"genre_scores_gemma":[0.9523238,0.03584573,0.00006397991,0.00005007884,0.0002391236,0.000001794246,8.116991e-7,0.000009164677,0.01146551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2970758,"threshold_uncertainty_score":0.9762684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117477911354434,"score_gpt":0.2700292208311287,"score_spread":0.2588544417175843,"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."}}