{"id":"W4283592773","doi":"10.1136/annrheumdis-2022-eular.2946","title":"OP0149 RADIOGRAPHIC PROGRESSION FROM NON-RADIOGRAPHIC TO RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS: RESULTS FROM A 5-YEAR MULTICOUNTRY PROSPECTIVE OBSERVATIONAL STUDY","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Axial spondyloarthritis; Sacroiliitis; Internal medicine; Radiography; Observational study; Rheumatology; Prospective cohort study; Ankylosing spondylitis; Physical therapy; Surgery","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005156072,0.0004688722,0.001005386,0.0007131711,0.000628493,0.00008127335,0.0006444143,0.00007602712,0.0004140197],"category_scores_gemma":[0.0009671649,0.0003683471,0.001001542,0.002473614,0.0003063301,0.0002466765,0.0004335625,0.0003844127,0.00001534818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004219644,"about_ca_system_score_gemma":0.0003426257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972853,"about_ca_topic_score_gemma":0.00008179554,"domain_scores_codex":[0.9950165,0.0005056457,0.001162239,0.0008903582,0.001889756,0.0005355239],"domain_scores_gemma":[0.9965123,0.0006277433,0.0005839883,0.00139533,0.000336855,0.0005438002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008857532,0.00759173,0.9541366,0.0001173484,0.00187146,0.0001022591,0.002603812,0.0002330915,0.0001499936,0.00008179202,0.01833553,0.005918901],"study_design_scores_gemma":[0.007530551,0.00141672,0.981518,0.0012591,0.0008908904,0.000006864735,0.002983757,0.0004393507,0.0000931924,0.00318094,0.0002769435,0.000403711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823585,0.003840964,0.00001336506,0.00260948,0.0004865378,0.003822998,0.006650692,0.0001385007,0.00007892329],"genre_scores_gemma":[0.9960322,0.0003317885,0.0005539529,0.001018049,0.0002032817,0.0009706394,0.0007672831,0.00007102948,0.00005181618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02738142,"threshold_uncertainty_score":0.9998769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710332638314813,"score_gpt":0.328852419606143,"score_spread":0.2717490932229948,"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."}}