{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001847324,0.0003257891,0.0002660638,0.000683689,0.0002865774,0.0003257633,0.0002170226,0.0002699804,0.003001329],"category_scores_gemma":[0.00020377,0.000170562,0.0002752198,0.0001440601,0.0002785597,0.0001492401,0.0004413358,0.0005145349,0.0002893823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249554,"about_ca_system_score_gemma":0.0002222521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007748577,"about_ca_topic_score_gemma":0.001741086,"domain_scores_codex":[0.9997934,0.00003531104,0.00001111633,0.0000545213,0.00006597574,0.00003966887],"domain_scores_gemma":[0.9995803,0.00006127864,0.0001308513,0.00005280544,0.00003611232,0.0001386943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008459913,0.0002829989,0.02527231,0.0001320651,0.00006825622,0.002016876,0.000229293,0.0001101708,0.9491363,0.00058048,0.0003930154,0.02093232],"study_design_scores_gemma":[0.00005744573,0.00425281,0.631287,0.0001058909,0.0002308123,0.007925716,0.0006741527,0.0006436888,0.3420765,0.0007692633,0.0119122,0.00006437735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934855,0.002934261,0.0009206969,0.00008423001,0.00003673635,0.00002211404,0.0003800465,0.00004960248,0.00208683],"genre_scores_gemma":[0.9909492,0.002541727,0.0008449334,0.00008497994,0.00002841614,0.00004749767,0.0004476105,0.00002580353,0.005029734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003001329,"threshold_uncertainty_score":0.01004046,"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."}}