{"id":"W4412664289","doi":"10.31235/osf.io/fus63_v1","title":"Asian American Fertility: Differences by Education and Marital Status","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Fertility; Marital status; Demography; Demographic economics; Psychology; Political science; Economics; Sociology; Population","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":[0.0004846982,0.00007716818,0.0001002272,0.0004280724,0.000367181,0.0002942586,0.0001238774,0.00008700435,0.004464983],"category_scores_gemma":[0.001144147,0.00006800317,0.000211641,0.0005446453,0.0002569895,0.0002170896,0.0003286037,0.0002051543,0.00029809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357473,"about_ca_system_score_gemma":0.0002318053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006083,"about_ca_topic_score_gemma":0.01080513,"domain_scores_codex":[0.9998375,0.00006010674,0.000008742632,0.00001845506,0.00003245646,0.00004282562],"domain_scores_gemma":[0.9995234,0.0001069329,0.000207142,0.00002413744,0.00004021248,0.00009828425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004458071,0.00004269356,0.9933182,0.000008319432,0.00004215269,0.00005200359,0.0007365212,0.00003349772,0.0001853562,0.0001840713,0.0001646653,0.005187837],"study_design_scores_gemma":[0.000001996676,0.00003241298,0.9982628,0.000006357976,0.00001028466,0.00009031651,0.0009736701,0.00005019503,0.00004247065,0.00005632975,0.0004717676,0.000001411636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975728,0.0002131834,0.00004883868,0.00006819906,0.000003620465,0.000002968642,0.0001443024,0.000001572754,0.001944613],"genre_scores_gemma":[0.999325,0.0001465652,0.00003006128,0.00002183664,0.000004889105,0.000002242979,0.0001067897,9.735861e-7,0.0003615568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006083,"threshold_uncertainty_score":0.01493686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008904124522310946,"score_gpt":0.3004468208559369,"score_spread":0.291542696333626,"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."}}