{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003090305,0.0004401701,0.001034022,0.000675748,0.0002808618,0.00005140933,0.000148955,0.000220223,0.00009745271],"category_scores_gemma":[0.0001179036,0.0004107059,0.0002154358,0.000656328,0.0001621976,0.0001851262,0.00009616619,0.0002249404,0.00002060334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776375,"about_ca_system_score_gemma":0.002175339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006759123,"about_ca_topic_score_gemma":0.00006173779,"domain_scores_codex":[0.9970369,0.0001409691,0.001054421,0.0007865137,0.0002702529,0.0007109304],"domain_scores_gemma":[0.9981235,0.0002760568,0.0005046863,0.0006422832,0.0003141932,0.0001393216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001991551,0.0001428945,0.959026,0.002987552,0.0001393274,0.00005081996,0.0000643531,0.00007136226,0.0006916315,0.0002201945,0.0001727964,0.03444152],"study_design_scores_gemma":[0.05443233,0.008203772,0.9143984,0.003316209,0.003267569,0.002181822,0.00006496207,0.00271136,0.007394253,0.00002095644,0.00309615,0.0009121812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862917,0.00584955,0.002370057,0.0003341926,0.002029142,0.002434897,0.0001896501,0.0002175927,0.0002831859],"genre_scores_gemma":[0.9953426,0.00059696,0.001519345,0.00001035044,0.001247669,0.0007136176,0.0003674641,0.00007097692,0.0001310011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05244077,"threshold_uncertainty_score":0.9998345,"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."}}