{"id":"W3165659910","doi":"10.1136/annrheumdis-2021-eular.3427","title":"POS0032 SCORING MRI STRUCTURAL LESIONS IN SACROILIAC JOINTS OF PATIENTS WITH AXIAL SPONDYLOARTHRITIS: HOW MANY SLICES ARE OPTIMAL?","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Lesion; Sacroiliac joint; Axial spondyloarthritis; Ankylosis; Magnetic resonance imaging; Nuclear medicine; Radiology; Orthodontics; Pathology; Sacroiliitis","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":[0.002475794,0.0008440724,0.001250175,0.001026605,0.00034032,0.001722033,0.0006808414,0.001332774,0.002354901],"category_scores_gemma":[0.006447257,0.0004056227,0.0007074198,0.0007677301,0.0003868149,0.001403294,0.0005423198,0.0005868023,0.0007068117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790531,"about_ca_system_score_gemma":0.0005257188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561827,"about_ca_topic_score_gemma":0.005719078,"domain_scores_codex":[0.9992806,0.0002801266,0.0001320921,0.00009125151,0.0001224997,0.00009339312],"domain_scores_gemma":[0.998248,0.0006409948,0.0002504516,0.00009162306,0.0005025241,0.0002664361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008779421,0.000313168,0.7796045,0.0009196433,0.001601818,0.001841832,0.0002623941,0.003520041,0.01748115,0.0005766575,0.01097088,0.1741285],"study_design_scores_gemma":[0.0009874738,0.00285076,0.9253133,0.000904114,0.002627187,0.009535656,0.001486887,0.03112589,0.009062805,0.00503786,0.01085647,0.0002116324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748631,0.010504,0.006081814,0.00251881,0.000236785,0.000076863,0.001152553,0.0001541878,0.004411889],"genre_scores_gemma":[0.9826712,0.00240016,0.0123282,0.0003604103,0.0002295655,0.00006122924,0.001211082,0.00007117607,0.0006668577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002475794,"threshold_uncertainty_score":0.01309341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604917985129825,"score_gpt":0.2798244402336356,"score_spread":0.2637752603823373,"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."}}