{"id":"W4385255337","doi":"10.3390/cells12141920","title":"Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome","year":2023,"lang":"en","type":"article","venue":"Cells","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Women and Children’s Health Research Institute; University of Alberta","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Azrieli Foundation","keywords":"Fragile X syndrome; FMR1; Autism; Phenotype; Clinical psychology; Clinical trial; Psychology; Mood; Bioinformatics; Medicine; Neuroscience; Internal medicine; Biology; Fragile x; Developmental psychology; Psychiatry; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603087,0.00006421635,0.00008657073,0.00005377127,0.0000103391,0.000004238914,0.00006373887,0.00007808427,0.000007914922],"category_scores_gemma":[0.00003400522,0.00006650259,0.00003521806,0.000115619,0.00005405348,0.000001110414,0.00007806833,0.00003997696,0.00001680086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002380482,"about_ca_system_score_gemma":0.0000184634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008668138,"about_ca_topic_score_gemma":0.00001256632,"domain_scores_codex":[0.9994283,0.00004024465,0.00018385,0.0001860779,0.00006207377,0.000099461],"domain_scores_gemma":[0.999795,0.00001030107,0.00003597227,0.0001097962,0.00001658038,0.00003238911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002626832,0.00003232259,0.0192601,0.00001410011,0.00002747102,0.000008373357,0.0000276077,0.0001193957,0.9759914,0.000005645677,0.0005784186,0.003908869],"study_design_scores_gemma":[0.0007828202,0.0003198499,0.671955,0.00002920856,0.00001448938,0.000003474923,0.0001065666,0.0003515504,0.3234568,0.0002173389,0.002563149,0.0001997969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989009,0.0002780419,0.0001283887,0.00003743564,0.0001416567,0.00008936329,0.000003913465,0.000004839495,0.0004154857],"genre_scores_gemma":[0.9991221,0.0005119671,0.0001695127,0.00005313028,0.000002537628,0.000002907771,0.0000304716,0.00001038907,0.00009700448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6526949,"threshold_uncertainty_score":0.2711897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402672294002201,"score_gpt":0.2608626585264468,"score_spread":0.2468359355864248,"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."}}