{"id":"W3034294730","doi":"10.3390/brainsci10060361","title":"Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome","year":2020,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; Intellectual and Developmental Disabilities Research Center; Azrieli Foundation; National Institutes of Health; FRAXA Research Foundation","keywords":"Metformin; Fragile X syndrome; Medicine; Phenotype; Clinical trial; Internal medicine; Clinical significance; Bioinformatics; Oncology; Biology; Insulin; Genetics; Psychiatry; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004210715,0.0004491214,0.000396291,0.001081517,0.000231984,0.0004875677,0.0001802056,0.0005340534,0.0009330813],"category_scores_gemma":[0.001252832,0.0001243891,0.0002161447,0.0005230944,0.0001750113,0.0002024687,0.0002314327,0.0004228284,0.0001413856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974648,"about_ca_system_score_gemma":0.0001018125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006155247,"about_ca_topic_score_gemma":0.000890855,"domain_scores_codex":[0.9997305,0.00007500084,0.00004086866,0.00006168042,0.00006293794,0.00002903344],"domain_scores_gemma":[0.9994097,0.0001397004,0.0003008504,0.0000244109,0.00005277539,0.0000725899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002120002,0.000145501,0.9260189,0.00005326387,0.0001384031,0.000570289,0.000119985,0.0003016413,0.05934509,0.00008327618,0.0001977561,0.01090591],"study_design_scores_gemma":[0.00002768838,0.0007505119,0.9843374,0.00001680204,0.00009756473,0.0009815157,0.0001394166,0.0009336183,0.01214248,0.0001109947,0.0004521659,0.000009904338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982161,0.0007704377,0.0003043503,0.00004798251,0.000008781288,0.0000104925,0.000291733,0.00001064463,0.000339464],"genre_scores_gemma":[0.9987316,0.0001885639,0.0004741687,0.00003529561,0.000009725753,0.00001581703,0.0002773521,0.000002929458,0.000264521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081517,"threshold_uncertainty_score":0.003121495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015977177988619,"score_gpt":0.2500681583951389,"score_spread":0.2299083866152526,"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."}}