{"id":"W1526738299","doi":"10.2139/ssrn.345460","title":"Bayesian Analysis of An Econometric Model of Birth Inputs and Outputs","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"National Longitudinal Surveys; Birth weight; Generalized estimating equation; Gestational age; Econometrics; Statistics; Obstetrics; Mathematics; Medicine; Pregnancy","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":[0.008653586,0.0008117108,0.002425949,0.001610328,0.0007901674,0.002313993,0.001996057,0.002718236,0.008034308],"category_scores_gemma":[0.03672482,0.001755148,0.001658062,0.001721846,0.001680944,0.002681707,0.001266803,0.00283167,0.0009239299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002477792,"about_ca_system_score_gemma":0.002647795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0402327,"about_ca_topic_score_gemma":0.03015842,"domain_scores_codex":[0.9971256,0.001723204,0.0001093534,0.0004234815,0.0003125826,0.0003057195],"domain_scores_gemma":[0.9676315,0.02925514,0.001237415,0.0006804738,0.0009271965,0.0002684089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001780644,0.0001034702,0.004060724,0.00006151336,0.0001518286,0.0001470862,0.0001836914,0.8338553,0.0005184631,0.1450343,0.001732049,0.01397349],"study_design_scores_gemma":[0.0000392797,0.00001920864,0.001485774,0.00001211029,0.00003438871,0.00002294578,0.00002686007,0.9629685,0.0001070172,0.03484837,0.0004092576,0.00002638093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1862984,0.0006087741,0.8029053,0.002453532,0.00007192858,0.000115722,0.0009770796,0.0004418742,0.006127533],"genre_scores_gemma":[0.9329154,0.0008105497,0.04986053,0.0001959862,0.0001445823,0.0001879472,0.0009839754,0.0001413242,0.01475979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0402327,"threshold_uncertainty_score":0.07999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800309918028898,"score_gpt":0.2534899412608848,"score_spread":0.2354868420805958,"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."}}