{"id":"W2755901387","doi":"10.1136/annrheumdis-2017-eular.4594","title":"THU0064 ADAM-10 as a tocilizumab treatment predictive factor in rheumatoid arthritis","year":2017,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; St. Olavs Hospital Universitetssykehuset i Trondheim","keywords":"Tocilizumab; Medicine; Rheumatoid arthritis; Adalimumab; Internal medicine; CX3CL1; Rheumatology; Cytokine; Tumor necrosis factor alpha; Gastroenterology; Receptor; Immunology; Chemokine; Chemokine receptor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492674,0.0004045423,0.000465562,0.0007125397,0.0002609546,0.0006478476,0.000314557,0.0004524588,0.002753749],"category_scores_gemma":[0.001518355,0.0001235497,0.0005232487,0.0007277892,0.0001529937,0.0002409893,0.0001782599,0.0006996825,0.0004324486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002773236,"about_ca_system_score_gemma":0.0003461171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157689,"about_ca_topic_score_gemma":0.002292024,"domain_scores_codex":[0.9996699,0.00009208167,0.00004089269,0.00003491585,0.0001050586,0.00005717672],"domain_scores_gemma":[0.9992811,0.0002294326,0.0002434022,0.00003129897,0.00007841658,0.0001364225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005597453,0.0002737596,0.9331951,0.0001382432,0.0005623673,0.001869544,0.00007334209,0.0002969468,0.008385305,0.0001578115,0.002121601,0.04732864],"study_design_scores_gemma":[0.0001696777,0.0007880578,0.9868312,0.0000657733,0.0006384358,0.003324351,0.0001346792,0.002651823,0.00223732,0.0002579327,0.002880336,0.00002048228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888286,0.006236615,0.000308867,0.0004682118,0.0001697919,0.00001531249,0.0005867569,0.00004381276,0.00334211],"genre_scores_gemma":[0.997664,0.0006030757,0.0003689315,0.00007183265,0.0001113671,0.000005508747,0.0004485376,0.000006072141,0.0007208667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002753749,"threshold_uncertainty_score":0.009212136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09281284942180426,"score_gpt":0.4023402171534202,"score_spread":0.3095273677316159,"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."}}