{"id":"W4283708913","doi":"10.1136/annrheumdis-2022-eular.4007","title":"POS0995 VALIDATION OF THE SPARCC MRI-RETIC E-TOOL FOR INCREASING SCORING PROFICIENCY OF MRI LESIONS IN AXIAL SPONDYLOARTHRITIS","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Axial spondyloarthritis; Concordance; Medical physics; Nuclear medicine; Radiology; Magnetic resonance imaging; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01642766,0.0007873282,0.0006140966,0.00207976,0.0005418562,0.001988632,0.001360127,0.001837983,0.007990826],"category_scores_gemma":[0.02970631,0.0005216239,0.001027631,0.0007438553,0.0006673409,0.000975924,0.001855867,0.0005899115,0.005659648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610587,"about_ca_system_score_gemma":0.0009742507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333641,"about_ca_topic_score_gemma":0.00230971,"domain_scores_codex":[0.9921933,0.003037181,0.001071546,0.001208497,0.002048984,0.0004405142],"domain_scores_gemma":[0.9849713,0.005651935,0.001246321,0.00158819,0.005964017,0.0005782999],"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":[0.006959591,0.0008009978,0.7342163,0.0009873529,0.0009024771,0.0004740245,0.0008244448,0.004805308,0.02858514,0.00157225,0.02662332,0.1932489],"study_design_scores_gemma":[0.0008205069,0.003638714,0.8820078,0.0006968673,0.0007897633,0.003424221,0.0005438711,0.02224048,0.02513088,0.001403898,0.05911053,0.0001924027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9233067,0.001956814,0.03277477,0.0007443898,0.0007237187,0.001197949,0.01534056,0.001874239,0.02208082],"genre_scores_gemma":[0.9470562,0.0003330186,0.03040518,0.0006500153,0.0001334814,0.0009375385,0.01495216,0.0004067857,0.005125655],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01642766,"threshold_uncertainty_score":0.08687884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327377790176904,"score_gpt":0.2697044141086627,"score_spread":0.2464306362068936,"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."}}