{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009017327,0.001177737,0.00127871,0.004153259,0.001107304,0.006916181,0.003718197,0.001700383,0.06279684],"category_scores_gemma":[0.0141889,0.0008447217,0.0008691285,0.002908601,0.001148077,0.01023629,0.005863924,0.003083072,0.04068609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834712,"about_ca_system_score_gemma":0.004897661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421826,"about_ca_topic_score_gemma":0.002870155,"domain_scores_codex":[0.9965519,0.0006949479,0.000260142,0.0007565439,0.001464322,0.0002721174],"domain_scores_gemma":[0.9817437,0.006119181,0.0006453255,0.004390608,0.004831166,0.002270061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003341969,0.0002442477,0.001516471,0.0003387413,0.00004269334,0.0002916014,0.000316636,0.002816744,0.005477683,0.05621223,0.3856275,0.5467812],"study_design_scores_gemma":[0.0001479762,0.00009057662,0.001685987,0.0003063519,0.00004540951,0.000944255,0.0002115384,0.04373159,0.02250123,0.1085943,0.8216801,0.00006064226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008412213,0.005397044,0.6689979,0.02817573,0.002054271,0.0004894271,0.01186657,0.08914616,0.1854607],"genre_scores_gemma":[0.1245616,0.008399895,0.592049,0.01298845,0.003902858,0.0006464816,0.06103927,0.01774367,0.1786688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06279684,"threshold_uncertainty_score":0.2100763,"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."}}