{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008457908,0.0001922363,0.0003208594,0.0004530229,0.000234981,0.0003872704,0.0005970584,0.0003262982,0.004560329],"category_scores_gemma":[0.006756615,0.000128815,0.0004737019,0.0006735573,0.0002368264,0.0003466903,0.0002719847,0.000459112,0.0004234811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000363129,"about_ca_system_score_gemma":0.0004173442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006662711,"about_ca_topic_score_gemma":0.004867669,"domain_scores_codex":[0.9995126,0.0001212347,0.00006001133,0.0001469173,0.0000932519,0.00006591156],"domain_scores_gemma":[0.9966908,0.001029526,0.001605039,0.0002048957,0.0001882109,0.0002815068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003073978,0.00002071188,0.9957805,0.00004473257,0.00009911312,0.00005429682,0.0000379212,0.00003534961,0.0001009793,0.00005064332,0.0002566118,0.003211875],"study_design_scores_gemma":[0.00001358475,0.0001711955,0.998187,0.00004673279,0.00009228417,0.000507277,0.00008814481,0.0001394697,0.0001199082,0.00008343408,0.0005455237,0.00000544519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990511,0.003020337,0.0003206535,0.0005599034,0.00004942369,0.00002701609,0.003491479,0.00001365194,0.002006481],"genre_scores_gemma":[0.9976481,0.0005991979,0.0002995349,0.00008667202,0.00003178521,0.00002956859,0.00076041,0.000003155285,0.0005417087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006662711,"threshold_uncertainty_score":0.01525581,"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."}}