{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005735324,0.00005705165,0.0001634588,0.00008336643,0.0000126948,0.00000446596,0.00008376128,0.00008993975,0.00000301784],"category_scores_gemma":[0.001282949,0.00005065466,0.00008377583,0.0001444678,0.00005175386,0.000002863869,0.000030229,0.0001810674,0.000007732816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003412924,"about_ca_system_score_gemma":0.00006376044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000212917,"about_ca_topic_score_gemma":0.000002489041,"domain_scores_codex":[0.9990391,0.0001342148,0.0005106885,0.00009580044,0.0001379452,0.00008232667],"domain_scores_gemma":[0.9994314,0.0001213151,0.0002897418,0.00005775412,0.00003935616,0.00006046063],"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":[0.00009901288,0.0001053599,0.06948188,0.00007278624,0.00003582865,0.00006829164,0.0001872716,0.003085111,0.92058,0.00002325107,0.001061632,0.005199621],"study_design_scores_gemma":[0.0008473165,0.001147639,0.8362175,0.0001032122,0.00000840432,0.00000635543,0.00007492558,0.0001464599,0.160613,0.0002548686,0.0005152053,0.00006510603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993269,0.00009859099,0.00001748216,0.0002218294,0.0001978018,0.00005587038,4.901539e-7,0.000002861953,0.00007813726],"genre_scores_gemma":[0.9991225,0.0002765803,0.0001903782,0.0002215111,0.00003044632,0.000001311772,0.000009485922,0.000008586157,0.0001391881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7667356,"threshold_uncertainty_score":0.2065637,"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."}}