{"id":"W4409534702","doi":"10.1093/humrep/deaf067","title":"Racial and ethnic disparities in fecundability: a North American preconception cohort study","year":2025,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Precursory Research for Embryonic Science and Technology; National Institute on Minority Health and Health Disparities; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bill and Melinda Gates Foundation","keywords":"Demography; Fertility; Ethnic group; Medicine; National Survey of Family Growth; Pregnancy; Infertility; Cohort; Cohort study; Prospective cohort study; Gynecology; Population; Environmental health; Family planning; Political science; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007076742,0.0001216741,0.0003517335,0.0002970813,0.0001404962,0.00001561794,0.00004205567,0.00004232648,0.000006383932],"category_scores_gemma":[0.0006473296,0.0001138934,0.00002685617,0.0006541883,0.000389391,0.00008850318,0.00005263601,0.0003134013,0.000002565994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585948,"about_ca_system_score_gemma":0.00005335097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251909,"about_ca_topic_score_gemma":0.003854599,"domain_scores_codex":[0.9983522,0.0001020151,0.0003228092,0.0008855989,0.0001399995,0.0001974333],"domain_scores_gemma":[0.9990474,0.00001876866,0.00009430005,0.000704988,0.0001003667,0.00003415585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001482023,0.000374657,0.9004694,0.0001160844,0.00002527002,0.000002596829,0.0005100223,0.000002317671,0.0002151843,0.0001602817,0.00005667091,0.09791929],"study_design_scores_gemma":[0.0005282458,0.0007289056,0.9960062,0.00002475707,0.00005007064,0.000007703343,0.001070272,0.000004321919,0.0003353262,0.0008356597,0.000326238,0.00008228116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951169,0.0004319853,0.00001491444,0.001554824,0.0002081589,0.002004379,7.533961e-7,0.0002122733,0.0004558127],"genre_scores_gemma":[0.9984794,0.0001509034,0.0000774943,0.00005335289,0.0001790375,0.0002959664,0.00001245028,0.00000831813,0.0007431112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09783701,"threshold_uncertainty_score":0.4644437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625648917789894,"score_gpt":0.3782932977091719,"score_spread":0.3420368085312729,"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."}}