{"id":"W3087489569","doi":"10.1111/sifp.12135","title":"Premarital Pregnancy in China: Cohort Trends and Educational Gradients","year":2020,"lang":"en","type":"article","venue":"Studies in Family Planning","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fertility; Premarital sex; Pregnancy; Educational attainment; Demography; Family planning; Cohort; Unintended pregnancy; Reproductive health; China; Age at first marriage; National Survey of Family Growth; Population; Medicine; Sociology; Political science; Economic growth; Economics; Biology","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":[0.0002302356,0.0001054382,0.0002000677,0.0001623551,0.0002180769,0.00003013061,0.0001353777,0.00004700241,0.00001013609],"category_scores_gemma":[0.0001609872,0.00009932504,0.00002451609,0.0006534391,0.0002929312,0.0001591657,0.00008766127,0.0001493476,0.000001420956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003112462,"about_ca_system_score_gemma":0.00004234874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004676599,"about_ca_topic_score_gemma":0.001252605,"domain_scores_codex":[0.9989328,0.00009215887,0.0001939624,0.0002936402,0.0002208582,0.0002666076],"domain_scores_gemma":[0.9997004,0.0001123254,0.00004696797,0.00004970355,0.0000186667,0.00007193755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005961069,0.00002396541,0.8785179,0.00001743906,0.00003023975,0.000009543598,0.1059026,0.00001049763,0.000001124613,0.001922182,0.001034612,0.01252392],"study_design_scores_gemma":[0.0002320941,0.00003254501,0.9679654,0.0002269851,0.000006929838,2.742221e-7,0.0282122,0.0000180451,1.815338e-7,0.002208005,0.0009854939,0.0001118938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836691,0.0221727,0.000002119019,0.002601582,0.0004009999,0.0001132156,0.000008884757,0.00003056123,0.0910008],"genre_scores_gemma":[0.9977018,0.00158041,0.0001508782,0.0001132745,0.00009765285,0.00003850721,0.000006543123,0.000004474031,0.0003064476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1140327,"threshold_uncertainty_score":0.4050358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206246647338043,"score_gpt":0.3845485891413291,"score_spread":0.2639239244075249,"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."}}