{"id":"W4403402630","doi":"10.21203/rs.3.rs-5236464/v1","title":"Genetic Predisposition Analysis of the Fshr Gene in Pcos: Insights From a South Indian Population","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Population; Genetics; Biology; Evolutionary biology; Demography; Sociology","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":[0.0002896865,0.0004457218,0.0002987509,0.001222291,0.001190356,0.0006657185,0.0004061293,0.0003197052,0.004838774],"category_scores_gemma":[0.001070225,0.0002189457,0.0004383438,0.001503241,0.0005539002,0.0001896707,0.0005147752,0.0005420922,0.0003917646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671176,"about_ca_system_score_gemma":0.0004126634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03128212,"about_ca_topic_score_gemma":0.01365567,"domain_scores_codex":[0.9997423,0.00006405004,0.00002058395,0.00007171212,0.00005294335,0.00004838413],"domain_scores_gemma":[0.99978,0.00007594797,0.00002858782,0.00002692041,0.0000297052,0.00005889067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00108381,0.0005156423,0.8841208,0.00008396542,0.0002610557,0.0190272,0.01430149,0.0003717948,0.04451705,0.001789604,0.001127374,0.03280018],"study_design_scores_gemma":[0.00003080874,0.0002208705,0.9856712,0.00002069838,0.0001644703,0.005898857,0.004025071,0.0004098953,0.001181753,0.0004924404,0.001851647,0.00003221233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976554,0.0001145381,0.0003722462,0.0001327717,0.00001061117,0.00001514444,0.0002640201,0.00001113636,0.001424226],"genre_scores_gemma":[0.998018,0.0002693287,0.0003848096,0.000070538,0.00002086519,0.00001046941,0.0001697695,0.00001023475,0.001046062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03128212,"threshold_uncertainty_score":0.06220007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006259810748793,"score_gpt":0.3114635331307629,"score_spread":0.291400935023275,"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."}}