{"id":"W3152570777","doi":"10.1097/mop.0000000000001012","title":"Multisystem inflammatory syndrome in children: a microcosm of challenges and opportunities for translational bioinformatics in pediatric research","year":2021,"lang":"en","type":"review","venue":"Current Opinion in Pediatrics","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Translational research; Medicine; Intensive care medicine; Clinical trial; Translational science; Risk stratification; MEDLINE; Clinical research; Bioinformatics; Pathology; Internal medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0009341357,0.0002966106,0.001244986,0.002587998,0.00003540714,0.0000147085,0.0001907524,0.000287772,0.000004288357],"category_scores_gemma":[0.0001234457,0.0002982043,0.0002186427,0.000831509,0.00006372919,0.0001237363,0.00009569821,0.000644537,0.000002463824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349224,"about_ca_system_score_gemma":0.001642599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002809508,"about_ca_topic_score_gemma":0.000004438566,"domain_scores_codex":[0.9970584,0.0002461548,0.00152539,0.0003818144,0.00043957,0.0003486632],"domain_scores_gemma":[0.9982809,0.0006924735,0.0003319402,0.0003330369,0.0002186559,0.000142932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001548832,0.000593489,0.01874098,0.2078691,0.00002465762,0.000007763038,0.0004723413,0.000002145248,6.685158e-9,0.001833551,0.0002809396,0.7701595],"study_design_scores_gemma":[0.008159119,0.0005676092,0.2714366,0.08294139,0.001141293,0.0007366496,0.001718117,0.000457679,5.855154e-8,0.0005101037,0.6306347,0.001696701],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001499047,0.9948039,0.00002047723,0.00009755104,0.0003565988,0.002839664,0.0003341639,0.0000128259,0.00003576428],"genre_scores_gemma":[0.000479575,0.9966195,0.0001940296,0.000001880509,0.0003816219,0.0008961619,0.001384955,0.00003469121,0.000007583582],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7684628,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.336675661819913,"score_gpt":0.4387346707759303,"score_spread":0.1020590089560172,"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."}}