{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003401683,0.00008892255,0.00009843743,0.0000553459,0.00005074998,0.00001039968,0.0002552229,0.00003861927,0.00003601087],"category_scores_gemma":[0.0001667491,0.00008089926,0.00004013115,0.0003174413,0.0002084173,0.000003528502,0.00009393141,0.00003803844,0.000002046623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000290099,"about_ca_system_score_gemma":0.0001257001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001170665,"about_ca_topic_score_gemma":0.000007174944,"domain_scores_codex":[0.9991058,0.00006001474,0.000170742,0.0003105882,0.0001840989,0.0001688088],"domain_scores_gemma":[0.9997581,0.00002335448,0.00005732398,0.00008402546,0.0000172968,0.00005994868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004955331,0.0001281195,0.02509497,0.00003604248,0.0000376404,0.00001213564,0.0002907703,0.0035565,0.9685015,0.00003910071,0.001684732,0.0005689121],"study_design_scores_gemma":[0.001327003,0.002367301,0.111872,0.00002853327,0.00001312664,0.00000494039,0.0009659732,0.004203964,0.8700202,0.0001731527,0.00869111,0.0003327325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996769,0.0002894898,0.0004654264,0.0010955,0.00004368555,0.0001761494,0.0000205339,0.000004806152,0.001135427],"genre_scores_gemma":[0.9953102,0.00002579845,0.003639184,0.0009682871,0.000003984351,0.00001386776,0.00001576711,0.000005430792,0.00001747859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09848133,"threshold_uncertainty_score":0.3298976,"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."}}