{"id":"W2581228977","doi":"10.1016/j.pediatrneurol.2017.01.006","title":"Harnessing Neuroimaging Capability in Pediatric Stroke: Proceedings of the Stroke Imaging Laboratory for Children Workshop","year":2017,"lang":"en","type":"editorial","venue":"Pediatric Neurology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary; Child and Family Research Institute; Hospital for Sick Children; University of British Columbia; Baycrest Hospital; SickKids Foundation; University of Toronto","funders":"American Society of Neuroradiology","keywords":"Neuroimaging; Pediatric stroke; Pediatric Neurology; Stroke (engine); Medicine; Magnetic resonance imaging; Neurology; Neuroradiology; Medical physics; Pediatric research; Ischemic stroke; Pediatrics; Psychiatry; Radiology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001063498,0.0006447051,0.001384552,0.0007024775,0.0002706799,0.00006347476,0.001066856,0.0009406775,0.000008634623],"category_scores_gemma":[0.00737866,0.0005344245,0.0004459374,0.0004859225,0.0004586174,0.0002384238,0.0006128086,0.003194442,0.000005839442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006878299,"about_ca_system_score_gemma":0.001032099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000522617,"about_ca_topic_score_gemma":0.00002133806,"domain_scores_codex":[0.995744,0.0001282722,0.001049499,0.001414729,0.0007010057,0.0009625207],"domain_scores_gemma":[0.9952879,0.001626877,0.001399717,0.0008048507,0.0007068561,0.0001738106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005939314,0.000186471,0.7216371,0.001090846,0.00002054411,0.00005676299,0.0001048781,0.000002111293,0.0002774399,0.000005781734,0.27508,0.0009440838],"study_design_scores_gemma":[0.007748871,0.0006161546,0.9114597,0.00005923508,0.00215151,0.0001758482,0.00002518118,0.00009177249,0.000144542,0.0002670751,0.07626031,0.0009998354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.6434944,0.003257814,0.000008718849,0.002500352,0.3472068,0.002032629,0.001102448,0.0001020112,0.000294859],"genre_scores_gemma":[0.3111133,0.001107618,0.0001668237,0.0007037708,0.6856338,0.0002558212,0.0001660072,0.000199258,0.0006536159],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.338427,"threshold_uncertainty_score":0.9997107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007733610386696618,"score_gpt":0.2586590052244415,"score_spread":0.2509253948377449,"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."}}