{"id":"W2473852348","doi":"10.1093/humrep/dew164","title":"Female digit length ratio (2D:4D) and time-to-pregnancy","year":2016,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Sexual Differentiation and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Kingston General Hospital; Health Canada; Centre Hospitalier Universitaire Sainte-Justine; Queen's University; Université de Sherbrooke; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Institut de recherche, Centre universitaire de santé McGill","keywords":"Digit ratio; Pregnancy; Fecundity; In utero; Medicine; Gestation; Cohort study; Cohort; Androgen; Fetus; Obstetrics; Anogenital distance; Gynecology; Physiology; Testosterone (patch); Endocrinology; Hormone; Internal medicine; Biology; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005044757,0.00008216633,0.00006344394,0.00003398398,0.00009799009,0.00003147088,0.00004672555,0.00004929187,0.0002013315],"category_scores_gemma":[0.00009659895,0.00006440733,0.00002219949,0.00003646147,0.00004406115,0.000005976158,0.00003946334,0.00001870686,0.0001217359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000624671,"about_ca_system_score_gemma":0.00001056679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003243744,"about_ca_topic_score_gemma":0.00000565095,"domain_scores_codex":[0.9992652,0.00002323201,0.000106336,0.0004346056,0.00006471088,0.0001059145],"domain_scores_gemma":[0.9995179,0.000002471816,0.00003732419,0.0003475772,0.00004586651,0.00004888638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002334963,0.00004838858,0.00257526,0.000008769137,0.00001712617,2.286291e-7,0.0001180852,0.000002764508,0.94026,0.000286433,0.002456908,0.05420267],"study_design_scores_gemma":[0.001241216,0.000575158,0.05256144,0.00005867439,0.00002532943,0.00001359645,0.0001877921,0.000005287071,0.84238,0.0006885787,0.1018112,0.0004517082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957054,0.0002807266,0.001235497,0.0004133162,0.0001107383,0.0001649339,0.000003669548,0.00003043882,0.002055333],"genre_scores_gemma":[0.9747775,0.0000266792,0.00006828461,0.0000839092,0.0002374082,0.00001880153,0.00007152008,0.00001283798,0.0247031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09935428,"threshold_uncertainty_score":0.2626455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729432296608731,"score_gpt":0.2598752113391521,"score_spread":0.2425808883730648,"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."}}