{"id":"W4212914404","doi":"10.1038/s41598-022-07064-z","title":"Association of lipid rafts cholesterol with clinical profile in fragile X syndrome","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fondation des Etoiles; Université de Sherbrooke","keywords":"Lipid raft; Cholesterol; Fragile X syndrome; Bioinformatics; Association (psychology); Medicine; Computational biology; Biology; Genetics; Internal medicine; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002601205,0.0003971915,0.0002195858,0.001303882,0.0002478905,0.0002432876,0.0001458,0.0003840813,0.001227813],"category_scores_gemma":[0.001065231,0.0001281161,0.0001613466,0.000395637,0.0003126045,0.0001522354,0.0002805962,0.0002521348,0.0001234481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435172,"about_ca_system_score_gemma":0.0001114038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105919,"about_ca_topic_score_gemma":0.0007930732,"domain_scores_codex":[0.9998488,0.00003667645,0.00002449384,0.00004198095,0.0000306676,0.00001723273],"domain_scores_gemma":[0.9994367,0.0001136664,0.0003064781,0.00002706095,0.00004712466,0.00006898075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001437338,0.00008163816,0.9578683,0.0000477884,0.00009912464,0.002957295,0.0001927322,0.0001021146,0.03147499,0.0000755783,0.0001181107,0.005545127],"study_design_scores_gemma":[0.000007088821,0.0001744745,0.9955851,0.000005444874,0.00002743287,0.002497906,0.00007755205,0.0001326665,0.001340721,0.00005271093,0.00009498252,0.000003967987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994135,0.0002512182,0.00007506226,0.00002551399,0.00000239978,0.000003819458,0.00006611315,0.000005935889,0.0001564814],"genre_scores_gemma":[0.9995477,0.0001124553,0.0001154157,0.000009723773,0.00000349115,0.000004103815,0.00008686464,0.000001649241,0.0001185768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001303882,"threshold_uncertainty_score":0.004107475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009110324457046402,"score_gpt":0.246552657502263,"score_spread":0.2374423330452166,"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."}}