{"id":"W2588003167","doi":"10.1038/nature21369","title":"Early brain development in infants at high risk for autism spectrum disorder","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":1166,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McGill University; Montreal Neurological Institute and Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institute of Environmental Health Sciences; Autism Speaks","keywords":"Brain size; Autism; Autism spectrum disorder; Neuroimaging; Magnetic resonance imaging; Psychology; Pediatrics; Brain development; Prospective cohort study; Brain morphometry; Medicine; Neuroscience; Developmental psychology; Internal medicine; Radiology","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":[0.0003039211,0.0003029613,0.0003357601,0.001048667,0.0004955055,0.0006836682,0.0003659572,0.0006093378,0.002213215],"category_scores_gemma":[0.002338973,0.0002560123,0.0002686757,0.0004046742,0.0003984449,0.0003608127,0.0007218592,0.0006651091,0.0002732609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004087073,"about_ca_system_score_gemma":0.0004133553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004510325,"about_ca_topic_score_gemma":0.005488369,"domain_scores_codex":[0.9997953,0.00004890507,0.00001230773,0.00003175453,0.00005006444,0.00006176777],"domain_scores_gemma":[0.9993315,0.0002081804,0.0002000038,0.00002225225,0.00007886265,0.0001592732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001476188,0.0005076132,0.9217529,0.0001088789,0.00007806284,0.008765073,0.001718288,0.0003427929,0.03188683,0.0007932577,0.001269863,0.03130007],"study_design_scores_gemma":[0.000004901594,0.0002043306,0.992861,0.00003682424,0.00002742013,0.003718803,0.000807532,0.0001253268,0.001430864,0.0003454967,0.0004269909,0.0000105153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997837,0.0003958553,0.00007078833,0.0001036313,0.00001289158,0.000004037448,0.0001001889,0.000005766201,0.001469992],"genre_scores_gemma":[0.9977682,0.0007214464,0.0002114655,0.00004510057,0.00001398337,0.00001559916,0.0001698203,0.000009752028,0.001044561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004510325,"threshold_uncertainty_score":0.008968115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557191306300836,"score_gpt":0.3080493736034211,"score_spread":0.2924774605404127,"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."}}