{"id":"W2038114637","doi":"10.1016/j.nicl.2015.02.015","title":"Stochastic process for white matter injury detection in preterm neonates","year":2015,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; BC Children's Hospital; University of Toronto; University of Alberta","funders":"Mitacs; Michael Smith Health Research BC; Canadian Institutes of Health Research; Alberta Innovates; Children Neurodevelopmental Disorders Network","keywords":"False positive paradox; White matter; Similarity (geometry); Ground truth; Computer science; Artificial intelligence; Medicine; Pediatrics; Magnetic resonance imaging; Radiology; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004495052,0.0001323861,0.0003378288,0.00009045089,0.00002114857,0.00001068867,0.00009131898,0.000152773,0.00002888828],"category_scores_gemma":[0.001322086,0.0001124903,0.0001087091,0.0001241406,0.0001492202,0.00009999975,0.00004989636,0.0003909619,0.0001443287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001760725,"about_ca_system_score_gemma":0.00006551456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001705828,"about_ca_topic_score_gemma":0.000005063579,"domain_scores_codex":[0.9986197,0.00007802548,0.0004847283,0.0004335164,0.0001372676,0.0002467359],"domain_scores_gemma":[0.999123,0.0002565773,0.00008348557,0.0002335662,0.0001160158,0.0001873188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0421248,0.002543209,0.6705542,0.001120744,0.00007683127,0.00129825,0.001679154,0.0001035432,0.01391517,0.00003097253,0.006568434,0.2599847],"study_design_scores_gemma":[0.01060086,0.006974454,0.9646165,0.000137724,0.0001242953,0.0008105482,0.0001425956,0.007365215,0.001831815,0.004061713,0.002887688,0.0004465575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927188,0.00004046758,0.003285836,0.001736234,0.000676634,0.0007572237,0.00001526066,0.00006264295,0.0007069491],"genre_scores_gemma":[0.9949246,0.000001884221,0.0002805371,0.003638022,0.0003039178,0.00008617637,0.00001261404,0.00003008592,0.0007221652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2940623,"threshold_uncertainty_score":0.4587221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354346576634711,"score_gpt":0.3907791325235818,"score_spread":0.3172356667572347,"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."}}