{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005787421,0.0001532775,0.0005116462,0.0002001505,0.00004887978,0.00001077607,0.0002313271,0.00005596795,0.00008337928],"category_scores_gemma":[0.0003437071,0.0001054954,0.0001366479,0.0002401489,0.0000675585,0.0001262625,0.0001195456,0.00007502246,0.000003938344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000465909,"about_ca_system_score_gemma":0.0006178336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002648566,"about_ca_topic_score_gemma":0.00000138371,"domain_scores_codex":[0.9983071,0.0002156936,0.0006303586,0.000208634,0.0003592696,0.0002789443],"domain_scores_gemma":[0.9990122,0.0001868483,0.00019684,0.0003859522,0.0001537185,0.00006447045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01403033,0.0009268405,0.05015547,0.00084306,0.0001215321,0.000002394876,0.009033167,0.00223208,0.9063049,0.000003370916,0.0002062848,0.01614056],"study_design_scores_gemma":[0.002193801,0.0003787117,0.5210026,0.002204444,0.000008601124,5.538034e-7,0.001420559,0.002658449,0.4698769,0.0000696342,0.00006935745,0.000116456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964315,0.0006858486,0.000128333,0.00022843,0.0000411246,0.002426862,0.00003168754,0.00001011144,0.0000161564],"genre_scores_gemma":[0.9974794,0.0001621654,0.002031762,0.00009213504,0.000005960665,0.0001128155,0.000006031905,0.00002597148,0.00008378118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708471,"threshold_uncertainty_score":0.4301977,"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."}}