{"id":"W4379650101","doi":"10.1136/annrheumdis-2023-eular.82","title":"POS1118 DISCRIMINATING CAPACITY OF THE ASAS HEALTH INDEX IN PATIENTS TREATED WITH IXEKIZUMAB IN THE COAST PROGRAMME","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Biogen; Chugai Pharmaceutical; Pfizer; Eli Lilly and Company; Amgen","keywords":"Medicine; Ixekizumab; Index (typography); Internal medicine; Physical therapy; Arthritis; World Wide Web; Psoriatic arthritis; Computer science","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":[0.0005071097,0.0003162159,0.000388617,0.0004954037,0.0003747751,0.000720219,0.0003097996,0.0003832324,0.00206212],"category_scores_gemma":[0.001741584,0.0001649698,0.0004043421,0.0004526776,0.0002855955,0.0003406787,0.0003604048,0.0007482012,0.0003366412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783107,"about_ca_system_score_gemma":0.0004654153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003284044,"about_ca_topic_score_gemma":0.003162088,"domain_scores_codex":[0.9996725,0.00009794341,0.00003087233,0.00005330793,0.0000447588,0.0001005106],"domain_scores_gemma":[0.9993417,0.0001418161,0.0001734391,0.00002631005,0.00007285293,0.0002437701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004950719,0.0001415531,0.9945238,0.000009834916,0.00003208722,0.0002102944,0.0000991704,0.00003862677,0.0003595247,0.00003495637,0.0002136116,0.003841497],"study_design_scores_gemma":[0.0000541192,0.0008065242,0.9956639,0.00003530101,0.0001296474,0.0006771798,0.000820304,0.0006449683,0.0002412216,0.0001193371,0.0007963977,0.00001100716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981146,0.0001994801,0.00003266898,0.00013237,0.00002252253,0.000006899098,0.00009779973,0.000002820706,0.001390843],"genre_scores_gemma":[0.9994853,0.00006071,0.00003529854,0.00005011736,0.00001634795,0.000002970416,0.0001040569,0.000001748966,0.000243438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003284044,"threshold_uncertainty_score":0.006898463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362780431285062,"score_gpt":0.2672512376539451,"score_spread":0.2309731945254389,"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."}}