{"id":"W4210420785","doi":"10.21203/rs.3.rs-146075/v1","title":"A New Strategy to Uncover Fragile X Proteomic Biomarkers Using the Nascent Proteome of Peripheral Blood Mononuclear Cells&amp;nbsp;(PBMCs)","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Peripheral blood mononuclear cell; Proteome; Peripheral blood; Proteomics; Computational biology; Chemistry; Biology; Medicine; Immunology; Bioinformatics; Biochemistry; In vitro; Gene","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":[0.0003024525,0.0006240731,0.0003159272,0.0004470714,0.0001922161,0.0003481079,0.000237067,0.0004025272,0.0009578587],"category_scores_gemma":[0.0003013452,0.0001611776,0.0002446348,0.0002677398,0.0002090268,0.0003019929,0.0003876934,0.0006051156,0.0007011768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091718,"about_ca_system_score_gemma":0.0001881283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001939311,"about_ca_topic_score_gemma":0.0003131907,"domain_scores_codex":[0.9998217,0.00003419269,0.00001190296,0.00006413244,0.00005016834,0.00001784713],"domain_scores_gemma":[0.9998902,0.00002169954,0.00002218449,0.0000152492,0.00003010558,0.00002054681],"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":[0.00003777685,0.00001349672,0.0003731124,0.00004913315,0.000005841473,0.00004118652,0.00001161563,0.00002552049,0.9967591,0.00006388327,0.00006965364,0.002549666],"study_design_scores_gemma":[0.00002276335,0.0005006127,0.009534587,0.00002248858,0.00005406736,0.001207763,0.00007452641,0.003936318,0.9755228,0.0004788338,0.00862594,0.00001926657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8099867,0.006584761,0.1755947,0.0007853987,0.000341993,0.0003690892,0.002628044,0.0006233223,0.003086037],"genre_scores_gemma":[0.7235569,0.003561923,0.2632065,0.0008145737,0.0001454013,0.0005548229,0.003776957,0.00009610695,0.004286795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009578587,"threshold_uncertainty_score":0.003204346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764441242635657,"score_gpt":0.3427413640624028,"score_spread":0.2950969516360462,"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."}}