{"id":"W2200698427","doi":"10.1016/j.ejpn.2015.12.006","title":"Inflammatory markers in pediatric stroke: An attempt to better understanding the pathophysiology","year":2015,"lang":"en","type":"article","venue":"European Journal of Paediatric Neurology","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Inselspital, Universitätsspital Bern","keywords":"Pathophysiology; Medicine; Stroke (engine); Neuroscience; Bioinformatics; Physical medicine and rehabilitation; Psychology; Internal medicine; Biology; Engineering","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":[0.001150701,0.0007349072,0.001223005,0.001775167,0.0003984719,0.001580676,0.00053984,0.001148265,0.0007802849],"category_scores_gemma":[0.001501715,0.0002414047,0.0005498404,0.001498737,0.0008704189,0.001571275,0.0005485946,0.002161247,0.0001878506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469396,"about_ca_system_score_gemma":0.001461223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503783,"about_ca_topic_score_gemma":0.001506831,"domain_scores_codex":[0.9996076,0.0001522784,0.00007975252,0.00005465406,0.00006571027,0.00004004614],"domain_scores_gemma":[0.998971,0.0004100405,0.0003341141,0.00004203128,0.000163434,0.00007938828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001887331,0.0007430742,0.470806,0.006441479,0.000676912,0.01497682,0.001840865,0.001620671,0.0285022,0.02010587,0.006523366,0.4458754],"study_design_scores_gemma":[0.0003022598,0.00401319,0.6570504,0.006553194,0.004113443,0.08772642,0.004501642,0.008254109,0.03108625,0.02378074,0.1723612,0.0002572002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1077485,0.8726386,0.007949254,0.007125349,0.0004981926,0.00006045973,0.000218756,0.00005693197,0.003703917],"genre_scores_gemma":[0.4260299,0.5559673,0.01312404,0.001175502,0.002155571,0.0000825185,0.0001794665,0.0000163433,0.001269286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001775167,"threshold_uncertainty_score":0.006085515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475251402420349,"score_gpt":0.261368676860273,"score_spread":0.2166161628360695,"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."}}