{"id":"W4386687654","doi":"10.1177/11795514231196461","title":"Prenatal Androgen Excess Induces Multigenerational Effects on Female and Male Descendants","year":2023,"lang":"en","type":"article","venue":"Clinical Medicine Insights Endocrinology and Diabetes","topic":"Ovarian function and disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Agencia Nacional de Promoción Científica y Tecnológica; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Androgen; Androgen Excess; Endocrinology; Internal medicine; Biology; Demography; Developmental psychology; Andrology; Psychology; Medicine; Sociology; Hormone; Obesity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916831,0.0002021698,0.0005428983,0.0002445471,0.0001758064,0.00001079446,0.00005754919,0.0001929207,0.0001454828],"category_scores_gemma":[0.001595343,0.0001408226,0.00005259423,0.0002036116,0.000694556,0.00007493231,0.00007349929,0.0003518294,0.00008660493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000715222,"about_ca_system_score_gemma":0.00004487683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005798409,"about_ca_topic_score_gemma":0.000006319514,"domain_scores_codex":[0.9983827,0.0001526104,0.0004226785,0.0005033024,0.0001770824,0.0003616233],"domain_scores_gemma":[0.9974856,0.00186309,0.00008059319,0.0001980098,0.00005914789,0.0003135213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003558543,0.0002937038,0.9105147,0.0004707478,0.0002952491,0.0003895904,0.0003087975,0.000001984631,0.001754701,0.003438059,0.006038416,0.07613825],"study_design_scores_gemma":[0.009825272,0.002840749,0.9694268,0.000506532,0.0001844768,0.00008314992,0.0002308453,0.0004015561,0.008987012,0.00133342,0.005938155,0.0002419918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889897,0.002169714,0.000005506301,0.003977202,0.0009991614,0.000328663,0.00000286469,0.0001391255,0.003388132],"genre_scores_gemma":[0.9924244,0.001134586,0.00006947405,0.00465865,0.0007443745,0.00004142676,0.00006379485,0.00001654392,0.0008467389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07589626,"threshold_uncertainty_score":0.5742577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05575847086838391,"score_gpt":0.343666350781174,"score_spread":0.2879078799127901,"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."}}