{"id":"W4283691499","doi":"10.1136/annrheumdis-2022-eular.3365","title":"POS0989 DEVELOPMENT OF INTERNATIONAL CONSENSUS ON A STANDARDIZED IMAGE ACQUISITION PROTOCOL FOR DIAGNOSTIC EVALUATION OF THE SACROILIAC JOINTS BY MRI – AN ASAS-SPARTAN COLLABORATION.","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Alberta","funders":"Eisai","keywords":"Medicine; Protocol (science); Medical physics; Spartan; Sacroiliac joint; Radiology; Pathology; Alternative medicine; Computer science; Computer hardware","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":[0.0008405246,0.00009462546,0.0002037276,0.00005459847,0.0001213299,0.00001712773,0.0002497265,0.00001364891,0.0002674854],"category_scores_gemma":[0.001472537,0.0000644739,0.0001153399,0.0002060028,0.00007634564,0.00005238907,0.00004941887,0.0000432262,5.790967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005744083,"about_ca_system_score_gemma":0.0002191723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006846138,"about_ca_topic_score_gemma":0.000003326677,"domain_scores_codex":[0.9981071,0.0002390296,0.0004837685,0.0001045073,0.0009688988,0.00009668015],"domain_scores_gemma":[0.9986012,0.0003501904,0.0002769614,0.000252106,0.0004735616,0.00004598394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009638349,0.004131845,0.005168277,0.003488777,0.003170414,8.985484e-7,0.006733143,0.3384054,0.01855953,0.0006148419,0.4991542,0.1196088],"study_design_scores_gemma":[0.008612766,0.0003587698,0.03427911,0.003148244,0.0009651632,0.000002337173,0.00377507,0.734484,0.1982335,0.008038951,0.007480389,0.0006217074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511887,0.0001874452,0.002171138,0.003858073,0.0003738715,0.03869382,0.003098638,0.00005982993,0.0003684161],"genre_scores_gemma":[0.975884,0.000004490933,0.0005971495,0.00005813954,0.000009541356,0.02332768,0.00007521454,0.00001372351,0.00003003676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4916738,"threshold_uncertainty_score":0.2928778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761291662854926,"score_gpt":0.3553236487208027,"score_spread":0.3177107320922535,"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."}}