{"id":"W2057175036","doi":"10.1016/j.spen.2011.02.001","title":"The NeuroDevNet Neuroinformatics Core","year":2011,"lang":"en","type":"article","venue":"Seminars in Pediatric Neurology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; University of British Columbia; NeuroDevNet","funders":"","keywords":"Neuroinformatics; Standardization; Computer science; Data sharing; Data science; Data management; Excellence; Knowledge management; Medicine; Database; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002713723,0.0001777782,0.0002582236,0.0001757927,0.00009705331,0.000005466565,0.0002740314,0.000155928,0.00004269039],"category_scores_gemma":[0.0003514411,0.0001250078,0.00007647092,0.0004087808,0.0002237891,0.00005806864,0.0001763162,0.0006852367,0.0001511376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007218613,"about_ca_system_score_gemma":0.00005910749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001045236,"about_ca_topic_score_gemma":0.00001352479,"domain_scores_codex":[0.9985635,0.00007275044,0.0004332072,0.0002758631,0.0001598813,0.0004948369],"domain_scores_gemma":[0.9988826,0.0003831599,0.0001203293,0.0004600783,0.00003715659,0.0001166762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002492625,0.0004311607,0.9169266,0.0001725662,0.00001641365,0.008659427,0.002639898,0.000006584735,0.0002795566,0.005616716,0.01744015,0.04531835],"study_design_scores_gemma":[0.001887871,0.003574884,0.9479566,0.000006704233,0.0001140004,0.007460223,0.00006151397,0.0007203316,0.000120954,0.006894318,0.03090238,0.0003002222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737201,0.0008945366,0.00001409518,0.001186051,0.001064836,0.0003399474,0.000003848071,0.00007325636,0.02270335],"genre_scores_gemma":[0.9881971,0.003649981,0.0003335931,0.006699161,0.0002667836,0.00002893917,0.000007540275,0.00003183741,0.0007849905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04501813,"threshold_uncertainty_score":0.5097671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433533621106721,"score_gpt":0.2454094316923875,"score_spread":0.2210740954813203,"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."}}