{"id":"W3197398866","doi":"10.1371/journal.pcbi.1009331","title":"Computational modeling of blood component transport related to coronary artery thrombosis in Kawasaki disease","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; American Heart Association","keywords":"Kawasaki disease; Thrombosis; Cardiology; Coronary artery disease; Medicine; Internal medicine; Artery","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":[0.0002739666,0.0005990978,0.0007395331,0.0005115558,0.0006466198,0.001312608,0.0009416357,0.00180572,0.001698349],"category_scores_gemma":[0.001451678,0.0005048602,0.0009185051,0.0004171441,0.0007696471,0.0004585827,0.0009051563,0.000597601,0.0001731651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009587333,"about_ca_system_score_gemma":0.001492785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02467117,"about_ca_topic_score_gemma":0.008620057,"domain_scores_codex":[0.9998558,0.00004933023,0.000009906568,0.0000230566,0.00003072478,0.00003115016],"domain_scores_gemma":[0.9993874,0.0003969635,0.00006802502,0.00002517317,0.00007459368,0.00004783387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000023994,0.00001730179,0.001061734,0.00001307263,0.00001303155,0.00007392927,0.00001993635,0.9968065,0.0005057941,0.0007790736,0.00008450117,0.0006011517],"study_design_scores_gemma":[0.00000545783,0.000005342857,0.00015864,0.000001917597,0.000003136216,0.000007890065,0.000007471126,0.9993818,0.00007363743,0.0002509052,0.0001014135,0.00000242753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8186951,0.0008753834,0.1594395,0.001430819,0.0002062695,0.0002039784,0.001177416,0.0004467206,0.01752479],"genre_scores_gemma":[0.9770661,0.0003576403,0.01732537,0.0001478801,0.00003623819,0.0002011102,0.0004827908,0.00007115678,0.004311664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467117,"threshold_uncertainty_score":0.04905516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477508434581918,"score_gpt":0.2919632123487218,"score_spread":0.2571881280029026,"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."}}