{"id":"W6997125037","doi":"","title":"Using neuroimaging and histology to understand hyperexcitability and atypical connectivity in autism spectrum disorder","year":2015,"lang":"en","type":"dissertation","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Autism spectrum disorder; Neuroimaging; Prefrontal cortex; Visual cortex; Magnetoencephalography; Dorsolateral prefrontal cortex; Ventrolateral prefrontal cortex; Autism; Diffusion MRI","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007275132,0.0003666948,0.000269666,0.002103815,0.0002809126,0.0007346163,0.0002793017,0.0005280869,0.001455085],"category_scores_gemma":[0.0008428037,0.0002981272,0.0003645729,0.0004684598,0.0005368873,0.0010253,0.0005585505,0.0004792847,0.0003020384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004688666,"about_ca_system_score_gemma":0.0003502147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002159236,"about_ca_topic_score_gemma":0.005262322,"domain_scores_codex":[0.9998368,0.00002982541,0.00001836449,0.00005286324,0.00003962696,0.00002256017],"domain_scores_gemma":[0.9996467,0.00007361967,0.0001347227,0.00004352222,0.00006411419,0.00003726784],"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":[0.0003799781,0.00009441893,0.2716006,0.0006958159,0.0003730281,0.002451434,0.001383223,0.002524596,0.6175527,0.00233018,0.00105014,0.09956396],"study_design_scores_gemma":[0.00002256907,0.0003143091,0.913766,0.0003105167,0.000172452,0.006432277,0.002305412,0.008226611,0.05749353,0.005544911,0.005358002,0.00005351034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761909,0.00226874,0.01788932,0.0004483575,0.00002855397,0.00006110593,0.0005741841,0.0001499826,0.002388965],"genre_scores_gemma":[0.9509943,0.004177574,0.04210627,0.0002516767,0.00002955847,0.0001297816,0.0005483397,0.00006205457,0.001700489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002159236,"threshold_uncertainty_score":0.004867792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.064759544276971,"score_gpt":0.3158282604712926,"score_spread":0.2510687161943216,"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."}}