{"id":"W2989059804","doi":"10.1002/hbm.24867","title":"Multivariate models of brain volume for identification of children and adolescents with fetal alcohol spectrum disorder","year":2019,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Kids Brain Health Network; Alberta Innovates; Networks of Centres of Excellence of Canada; Children's Health Research Institute; Women and Children's Health Research Institute; Fondation Brain Canada","keywords":"Multivariate statistics; Multivariate analysis; Fetal Alcohol Spectrum Disorder; Brain size; Psychology; Magnetic resonance imaging; Neuroimaging; Fetal alcohol; Fetal alcohol syndrome; Audiology; Developmental psychology; Medicine; Internal medicine; Psychiatry; Pregnancy; Machine learning; Biology; Radiology; Computer science","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":[0.0003920448,0.0001488984,0.0003509129,0.0001373176,0.00005225783,0.00001152372,0.00009799335,0.00006703207,0.00001093147],"category_scores_gemma":[0.00007573875,0.0001349906,0.00006378199,0.0001284107,0.00008281351,0.0001773364,0.0000425064,0.0001005613,0.00000341191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002870002,"about_ca_system_score_gemma":0.00002205092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006556254,"about_ca_topic_score_gemma":0.00002356408,"domain_scores_codex":[0.9988533,0.00004531954,0.0003513441,0.0003207756,0.0002196874,0.0002095206],"domain_scores_gemma":[0.9992234,0.00005501493,0.0002801662,0.0003217672,0.00006389693,0.00005576412],"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":[0.0003072749,0.0001731303,0.2941121,0.001035993,0.0001460725,0.000001262847,0.00143346,0.0002928779,0.7006584,0.0009417509,0.0001587192,0.0007389036],"study_design_scores_gemma":[0.005126889,0.0002966068,0.9772995,0.001044674,0.00003927932,0.000009225299,0.00008505314,0.01104172,0.004134795,0.0007564069,0.000009545884,0.0001563064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965627,0.0001485266,0.0320505,0.000343219,0.00003729223,0.001682229,0.00002606952,0.00003189563,0.00005325838],"genre_scores_gemma":[0.9987407,0.000001360173,0.000555406,0.00006806468,0.00004645872,0.00002195472,0.00007851546,0.00003270691,0.0004548615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6965237,"threshold_uncertainty_score":0.5504755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313440050255009,"score_gpt":0.2522316033808692,"score_spread":0.2390972028783191,"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."}}