{"id":"W3165559185","doi":"10.1136/annrheumdis-2021-eular.2505","title":"OP0162 ETANERCEPT RESPONSE CLUSTERS IN JUVENILE IDIOPATHIC ARTHRITIS","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Université de Paris; Assistance publique-Hôpitaux de Paris; Rigshospitalet; Wilhelmina Kinderziekenhuis; Universitat de Barcelona; Aarhus Universitet; Medical Research Council; Ospedale Pediatrico Bambino Gesù; Université de Lausanne; Aarhus Universitetshospital; National and Kapodistrian University of Athens; Swedish Orphan Biovitrum; Institut des maladies génétiques Imagine; Centre Hospitalier Universitaire Vaudois; Assistance Publique - Hôpitaux de Paris","keywords":"Etanercept; Medicine; Methotrexate; Arthritis; Juvenile; Internal medicine; Adverse effect; Rheumatoid arthritis","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":[0.0007273984,0.0001323189,0.000551909,0.0001151234,0.00007359387,0.00002147504,0.0002123941,0.00006100553,0.0005116342],"category_scores_gemma":[0.003133308,0.00009852226,0.0002804311,0.0004295696,0.0001664138,0.0001114792,0.0001719281,0.0001778842,0.00004992794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568152,"about_ca_system_score_gemma":0.0008091733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004034521,"about_ca_topic_score_gemma":0.00002337435,"domain_scores_codex":[0.9978564,0.0005206449,0.0006360692,0.0001959462,0.0004893228,0.0003015811],"domain_scores_gemma":[0.9986515,0.0002076963,0.0001505035,0.0006926416,0.0001761622,0.0001214622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01286347,0.008091481,0.1117853,0.007534904,0.001073918,0.00200473,0.01157198,0.001321831,0.009194489,0.001365304,0.09256141,0.7406312],"study_design_scores_gemma":[0.006735432,0.0005045655,0.9522443,0.01432349,0.0001111025,0.000177059,0.007439266,0.002304852,0.007433061,0.002067285,0.006187723,0.000471818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681333,0.01903642,0.000008267217,0.01162547,0.00007781357,0.0002867726,0.00002016638,0.00002304228,0.0007887159],"genre_scores_gemma":[0.9943641,0.002801125,0.00002199701,0.000901364,0.00001066004,0.00003165396,0.000009340614,0.00001992072,0.001839883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8404591,"threshold_uncertainty_score":0.5602036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758520316686279,"score_gpt":0.3230414468044815,"score_spread":0.2854562436376187,"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."}}