{"id":"W3080703541","doi":"10.1136/annrheumdis-2020-eular.5828","title":"FRI0298 ASAS MODIFICATION OF THE BERLIN ALGORITHM AND THE DUET ALGORITHM FOR DIAGNOSING AXIAL SPONDYLOARTHRITIS: RESULTS FROM THE SCREENING IN AXIAL SPONDYLOARTHRITIS FOR PSORIASIS, IRITIS, AND COLITIS COHORT","year":2020,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Parkinson's Disease and Spinal Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute; Ottawa Hospital; University of Alberta; Université de Sherbrooke; University of Calgary; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Medicine; Algorithm; Psoriasis; Axial spondyloarthritis; Cohort; Dermatology; Internal medicine; Ankylosing spondylitis; Computer science; 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":[0.002336696,0.000820306,0.001339932,0.001823633,0.0005682089,0.001852487,0.001329829,0.001039698,0.005564379],"category_scores_gemma":[0.006246306,0.0006243926,0.002347759,0.001943955,0.0002208972,0.001114965,0.001166852,0.001220216,0.001522749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008290526,"about_ca_system_score_gemma":0.0008177843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851273,"about_ca_topic_score_gemma":0.01440915,"domain_scores_codex":[0.9983367,0.0004441248,0.0001992204,0.0004914704,0.0003208199,0.0002076725],"domain_scores_gemma":[0.9982511,0.0002250567,0.0006099815,0.0003624199,0.000361082,0.0001903064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0171005,0.000222804,0.9163641,0.0002580481,0.004391011,0.0002088281,0.00009517607,0.001712442,0.001898532,0.0009813877,0.03193432,0.02483281],"study_design_scores_gemma":[0.0007842232,0.0003179691,0.9848872,0.00006607195,0.001192902,0.0003119409,0.00009687101,0.002601291,0.000298396,0.0005732024,0.008823218,0.00004679879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8183717,0.005567621,0.006389447,0.0009913195,0.0007129695,0.0004255938,0.1550166,0.0005298599,0.01199488],"genre_scores_gemma":[0.8737569,0.001196146,0.007280438,0.0005760479,0.0003451993,0.0006007954,0.1089519,0.0002968106,0.006995789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01851273,"threshold_uncertainty_score":0.03680992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04088825078404507,"score_gpt":0.296554333509554,"score_spread":0.2556660827255089,"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."}}