{"id":"W2521523190","doi":"10.1038/nrrheum.2016.156","title":"Enhancing translational research in paediatric rheumatology through standardization","year":2016,"lang":"en","type":"review","venue":"Nature Reviews Rheumatology","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Canada Research Chairs; Canadian Rheumatology Association; SickKids Foundation; Hospital for Sick Children","funders":"Medical Research Council; Sparks","keywords":"Standardization; Biobank; Biorepository; Translational research; Context (archaeology); Medicine; Translational medicine; Data sharing; Data science; Medical physics; Alternative medicine; Computer science; Bioinformatics; Pathology","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","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.006293155,0.0008050227,0.007934326,0.001996616,0.0002349539,0.00003499685,0.0006511288,0.003767819,0.000999686],"category_scores_gemma":[0.002446348,0.0005394645,0.001064758,0.002908456,0.0004563768,0.0002665223,0.0002123202,0.006007941,0.001612468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498609,"about_ca_system_score_gemma":0.003582503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002969165,"about_ca_topic_score_gemma":0.00006076178,"domain_scores_codex":[0.9884854,0.00392517,0.003840141,0.001270243,0.001083225,0.001395852],"domain_scores_gemma":[0.9950538,0.002196694,0.0009230115,0.001146142,0.0004982672,0.0001820568],"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":[0.00005522549,0.0001110824,0.000307492,0.08219031,0.0001516522,0.00008670387,0.0001284861,9.702391e-8,7.795059e-7,0.007012059,0.005302792,0.9046533],"study_design_scores_gemma":[0.001067212,0.00009501512,0.00001210589,0.0684324,0.0001397392,0.001485148,0.0000203499,0.000002544156,0.00000129392,0.0008431156,0.9274881,0.0004129636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007254047,0.9906594,0.001140406,0.0007356069,0.0005878172,0.004275751,0.00004172726,0.00007770751,0.002474356],"genre_scores_gemma":[0.00005770663,0.9975755,0.0004654893,0.00005600183,0.00007800746,0.0008247399,0.000458618,0.0001457629,0.0003382198],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9221853,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07898831295404915,"score_gpt":0.4493367055039829,"score_spread":0.3703483925499338,"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."}}