{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005241564,0.00008844202,0.000256673,0.0001028917,0.0001041028,0.00000886788,0.0003428275,0.00001431715,0.00007037554],"category_scores_gemma":[0.0009318414,0.0000627573,0.0002227191,0.0004407362,0.0001007836,0.0000638012,0.0001186723,0.00008006985,3.870707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435972,"about_ca_system_score_gemma":0.00005598775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001216628,"about_ca_topic_score_gemma":0.000002358011,"domain_scores_codex":[0.9987312,0.0001657088,0.0004633811,0.00009911178,0.0003800426,0.0001605713],"domain_scores_gemma":[0.9991148,0.0003183561,0.0001670482,0.0003111137,0.00005249279,0.00003626036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001624861,0.001493642,0.2045837,0.006728398,0.0005631013,0.000003444924,0.004170908,0.6496519,0.01149077,0.003987491,0.003368046,0.1137961],"study_design_scores_gemma":[0.002558687,0.0002230227,0.3740735,0.009687033,0.0008591019,0.00001588697,0.003120685,0.4952717,0.08977823,0.02342396,0.0001958662,0.0007922846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971899,0.000833239,0.000804422,0.0005443489,0.0001419051,0.0002800668,0.0001294409,0.00001730337,0.00005935528],"genre_scores_gemma":[0.9996218,0.0001106521,0.0001450071,0.00002198253,0.00001066367,0.00004665315,0.000008806658,0.00001273281,0.0000216728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694898,"threshold_uncertainty_score":0.2559168,"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."}}