{"id":"W4416296293","doi":"10.1142/s2661341725740438","title":"Deep Learning on Spinal SPARCC Scoring System in Axial SpA Cohort","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Rheumatology and Immunology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraclass correlation; Magnetic resonance imaging; Pearson product-moment correlation coefficient; Deep learning; Axial spondyloarthritis; Cohort; Sørensen–Dice coefficient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009001159,0.0001352722,0.001262011,0.0002594251,0.0001027011,0.000006282402,0.00007629657,0.0002874911,0.00001938591],"category_scores_gemma":[0.001484847,0.0001047917,0.0001680812,0.0001212745,0.0002753325,0.00004040027,0.00007048409,0.001083392,0.00001526469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005615502,"about_ca_system_score_gemma":0.0001116509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004207688,"about_ca_topic_score_gemma":0.00002847567,"domain_scores_codex":[0.9978712,0.0002682349,0.001307647,0.0002013255,0.00009474102,0.0002568165],"domain_scores_gemma":[0.9986481,0.00063456,0.0004259925,0.0001205893,0.0001069933,0.00006372998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004907364,0.0002503372,0.9475888,0.00006259065,0.0007287052,0.000746143,0.0000300864,0.000005280897,0.00001579053,0.005270706,0.00002374769,0.04037045],"study_design_scores_gemma":[0.009118542,0.003915177,0.9802695,0.001601676,0.0001272111,0.002396784,0.0004476604,0.00006544057,0.00002029949,0.0001720193,0.001800414,0.00006525959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854079,0.009739747,0.00009514327,0.000856737,0.001742555,0.0001215565,2.023384e-7,0.00001131027,0.002024789],"genre_scores_gemma":[0.9913463,0.008245943,0.0001460806,0.0001169176,0.00004483831,0.000004497227,9.234237e-7,0.000006821565,0.00008765731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04030519,"threshold_uncertainty_score":0.4706859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361033454685353,"score_gpt":0.3613541138130605,"score_spread":0.337743779266207,"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."}}