{"id":"W4412822350","doi":"10.1186/s12969-025-01135-x","title":"Preliminary validation of a web-based MRI scoring system for children with chronic nonbacterial osteomyelitis (ChRonic nonbacterial Osteomyelitis Magnetic Resonance Imaging Scoring: CROMRIS)","year":2025,"lang":"en","type":"article","venue":"Pediatric Rheumatology","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Research Canada; Hospital for Sick Children","funders":"UCB Pharma; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Celgene; National Institutes of Health; Pfizer; Rheumatology Research Foundation; Eli Lilly and Company","keywords":"Medicine; Magnetic resonance imaging; Radiology; Soft tissue; Osteomyelitis; Usability; Torso; Trunk; Surgery; Computer science; Anatomy","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":[0.06413437,0.0006887679,0.0004549484,0.00134189,0.0005908044,0.001375856,0.001520335,0.0007494332,0.001671419],"category_scores_gemma":[0.08110361,0.0003644396,0.0009227309,0.000561373,0.0008173963,0.001185466,0.001705892,0.0009162595,0.000533357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105138,"about_ca_system_score_gemma":0.002187356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151068,"about_ca_topic_score_gemma":0.002833531,"domain_scores_codex":[0.9644342,0.0255119,0.003673312,0.001670459,0.004014995,0.0006951691],"domain_scores_gemma":[0.8948373,0.06071962,0.005132358,0.005413752,0.03138706,0.002510058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001997209,0.008682575,0.5086594,0.00251878,0.0002680537,0.001273504,0.04015442,0.003371386,0.02462205,0.0009276705,0.007301957,0.400223],"study_design_scores_gemma":[0.00125418,0.02451029,0.8639311,0.001809603,0.0004514203,0.002231618,0.02289423,0.03069115,0.02151289,0.001248453,0.02912552,0.00033956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95499,0.0001516549,0.03219276,0.0004073898,0.0001147028,0.008916229,0.0005862032,0.0003715873,0.002269306],"genre_scores_gemma":[0.8272431,0.0001800569,0.1608868,0.0002774446,0.00004635635,0.009336946,0.001048101,0.0001144566,0.0008665828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06413437,"threshold_uncertainty_score":0.339179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004470753130046977,"score_gpt":0.2303666582907439,"score_spread":0.2258959051606969,"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."}}