{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069044,0.0001400096,0.0002874738,0.00006275159,0.0002740521,0.00001518068,0.0003653682,0.00007794982,0.00001478012],"category_scores_gemma":[0.001809717,0.00007360776,0.000252483,0.0004515596,0.0003384863,0.0000473471,0.0004766647,0.0006625674,0.000228392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008911656,"about_ca_system_score_gemma":0.0002096953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.984285e-7,"about_ca_topic_score_gemma":0.000003529192,"domain_scores_codex":[0.9979801,0.0001080987,0.0008403575,0.0003463341,0.0003742875,0.0003508766],"domain_scores_gemma":[0.9975546,0.001489662,0.0001870919,0.0005858642,0.00007192566,0.0001108305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002922344,0.000239712,0.8180378,0.0001195339,0.00004315885,0.0003745892,0.000344405,0.000002252483,0.006615577,0.0002632261,0.005220247,0.1684473],"study_design_scores_gemma":[0.0009119985,0.0001523254,0.9732882,0.00001084438,0.00005577481,0.000115314,0.00009523899,0.0002404195,0.0006026487,0.0001373406,0.02430442,0.00008550103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921194,0.00008665851,0.00003534331,0.003232896,0.001348136,0.0003109774,0.000008523974,0.0001027598,0.002755347],"genre_scores_gemma":[0.9944894,0.0001806522,0.0003472648,0.001194136,0.000386674,0.00001171304,0.000004872093,0.00002876047,0.003356485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1683618,"threshold_uncertainty_score":0.3001637,"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."}}