{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123151,0.0002153771,0.0003801488,0.0005453109,0.001628664,0.0004983071,0.0006637322,0.0005587984,0.002138042],"category_scores_gemma":[0.00185528,0.000515444,0.0005367929,0.00179287,0.0002933633,0.0006490518,0.0006134003,0.0008086798,0.0003234235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009023701,"about_ca_system_score_gemma":0.00170659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1386192,"about_ca_topic_score_gemma":0.2160265,"domain_scores_codex":[0.9993265,0.0001520089,0.00004924627,0.0001763772,0.0001535263,0.0001423969],"domain_scores_gemma":[0.9989408,0.0001175838,0.0002877318,0.0001673501,0.0002073296,0.000279255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374833,0.0001229669,0.9950545,0.00003127812,0.0001112918,0.00009717073,0.0005975752,0.00001861102,0.0001612046,0.00009537292,0.001619599,0.001952937],"study_design_scores_gemma":[0.00003060622,0.00005648372,0.9983011,0.00002898966,0.00006775209,0.0000817576,0.0004895945,0.00008215669,0.00001852359,0.00004530378,0.0007909391,0.000006849496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956875,0.0004142737,0.0001866342,0.0003827089,0.00002187366,0.0001133294,0.00218454,0.000005456346,0.001003662],"genre_scores_gemma":[0.9967967,0.0003624877,0.0003164286,0.0004682715,0.0000375281,0.0001606873,0.00118986,0.000005604192,0.0006624861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8613808,"threshold_uncertainty_score":0.2756247,"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."}}