{"id":"W4377091449","doi":"10.1016/j.nicl.2023.103438","title":"The development of the pediatric stroke neuroimaging platform (PEDSNIP)","year":2023,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Health Sciences Centre; London Health Sciences Centre; University of Calgary; Alberta Children's Hospital; BC Children's Hospital; SickKids Foundation; University of British Columbia; Children's Hospital of Winnipeg; Hospital for Sick Children","funders":"Auxilium Foundation; Fondation Brain Canada","keywords":"Neuroimaging; Medicine; Stroke (engine); Pediatric stroke; Population; Neuroscience; Physical medicine and rehabilitation; Intensive care medicine; Psychology; Psychiatry; Ischemia; Ischemic stroke","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02048171,0.00110117,0.001420105,0.003562868,0.001593815,0.003535453,0.005573254,0.001367288,0.009629204],"category_scores_gemma":[0.05145193,0.001239926,0.00169978,0.004428822,0.0009295691,0.005227346,0.01094459,0.004680569,0.007705088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004852457,"about_ca_system_score_gemma":0.03207847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07945912,"about_ca_topic_score_gemma":0.1325238,"domain_scores_codex":[0.993484,0.002129722,0.000816819,0.001311158,0.001519634,0.000738766],"domain_scores_gemma":[0.9669849,0.0055707,0.002350492,0.004397802,0.01356999,0.007126141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001368797,0.0002245427,0.03309145,0.001187021,0.0004711562,0.0005830412,0.001142464,0.002242121,0.001847498,0.01225985,0.7996854,0.1458967],"study_design_scores_gemma":[0.001238528,0.0005025177,0.1239896,0.002656311,0.0005288722,0.001280639,0.0009351424,0.008260836,0.00544676,0.01494742,0.8398275,0.000385854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.04325749,0.00443349,0.1878247,0.02099111,0.003261328,0.02393845,0.6319761,0.03419453,0.0501229],"genre_scores_gemma":[0.04550912,0.002857562,0.381507,0.005522896,0.000860318,0.02414855,0.5266373,0.004381217,0.008576026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07945912,"threshold_uncertainty_score":0.1579933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08462963650245307,"score_gpt":0.3635027999826339,"score_spread":0.2788731634801808,"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."}}