{"id":"W4386325060","doi":"10.1172/jci171723","title":"Effects of AFQ056 on language learning in fragile X syndrome","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Shionogi; Azrieli Foundation; Zynerba Pharmaceuticals; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Fragile X Foundation; Biogen; National Institute of Neurological Disorders and Stroke; Massachusetts General Hospital; China Scholarship Council; Novartis; University of California, Davis; F. Hoffmann-La Roche; FRAXA Research Foundation; Ultragenyx Pharmaceutical; Autism Speaks","keywords":"Fragile X syndrome; Computer science; Medicine; Biology; Genetics","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":[0.001212585,0.0006830253,0.0009138489,0.0002741628,0.0002670054,0.0002771135,0.0004317908,0.0006492984,0.002512279],"category_scores_gemma":[0.001025434,0.0001286046,0.0006435767,0.00010737,0.0005961086,0.0003188793,0.0002996212,0.000868527,0.0001968086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000404382,"about_ca_system_score_gemma":0.0004445299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007258861,"about_ca_topic_score_gemma":0.00179403,"domain_scores_codex":[0.9995896,0.0002401481,0.00003548744,0.00004909252,0.00003949098,0.00004614926],"domain_scores_gemma":[0.9995559,0.0001500737,0.0001232292,0.00002266253,0.00002755027,0.0001206787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.5616657,0.03018248,0.007855137,0.002749579,0.0014834,0.0004014863,0.0003379506,0.001142148,0.05901407,0.0005676253,0.001663719,0.3329366],"study_design_scores_gemma":[0.2486948,0.7023085,0.02558872,0.000232556,0.000853391,0.0004619868,0.0001815039,0.001136098,0.01759776,0.000513724,0.002391509,0.00003933815],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956139,0.003107366,0.0001817835,0.0002446622,0.00006582086,0.0001568862,0.0001018282,0.00003599748,0.0004916102],"genre_scores_gemma":[0.9962782,0.002038335,0.0005768228,0.0002249047,0.00006143454,0.0002626621,0.0001109067,0.000004239003,0.0004424393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002512279,"threshold_uncertainty_score":0.008404374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422436419240862,"score_gpt":0.3306250715416426,"score_spread":0.306400707349234,"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."}}