{"id":"W2950989573","doi":"10.1136/annrheumdis-2019-eular.6737","title":"THU0525 DEVELOPMENT OF A PREDICTIVE TOOL FOR RESPONSE TO ANTI-TNF-ALPHA THERAPY IN JIA USING GENE EXPRESSION PROFILES IN PERIPHERAL DERIVED MONONUCLEAR CELLS","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Peripheral blood mononuclear cell; Whole blood; Gene expression; Immunology; Internal medicine; Gene; Biology; In vitro","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":[0.0007891385,0.0003546843,0.0006102811,0.0009617968,0.0002254503,0.00135354,0.000213602,0.0004459824,0.001277031],"category_scores_gemma":[0.0007428925,0.0001841947,0.000283485,0.0007433706,0.0002354593,0.0001897722,0.0002252277,0.0004646197,0.0004471095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223133,"about_ca_system_score_gemma":0.0002768876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007828086,"about_ca_topic_score_gemma":0.001282835,"domain_scores_codex":[0.9995273,0.000138369,0.00003297417,0.0001171203,0.0001168349,0.00006732468],"domain_scores_gemma":[0.9996458,0.0001501714,0.00007676612,0.0000247773,0.00006118881,0.00004130371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004893686,0.0005392233,0.3820589,0.0003601736,0.0003384038,0.0003587712,0.000376989,0.003503676,0.4996149,0.000369328,0.00134155,0.1062443],"study_design_scores_gemma":[0.0001497648,0.003509277,0.6887781,0.0001905597,0.0007322602,0.001181109,0.0009376894,0.04401778,0.2493555,0.0006602634,0.01041563,0.0000719775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.983156,0.002623587,0.009071264,0.0001445899,0.00008191339,0.0001128594,0.002506819,0.0001626602,0.00214033],"genre_scores_gemma":[0.9874155,0.0005462038,0.00851989,0.0001482198,0.00006060659,0.0001679871,0.001611446,0.00001799951,0.001512107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00135354,"threshold_uncertainty_score":0.004272103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472255078598385,"score_gpt":0.3307785736376894,"score_spread":0.2860560228517055,"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."}}