{"id":"W2789250337","doi":"","title":"IDENTIFICATION OF ANTI-TNF CANDIDATES BASED ON PREDICTED RESPONSE AND REMISSION IN ANKYLOSING SPONDYLITIS","year":2010,"lang":"en","type":"other","venue":"Data Archiving and Networked Services (DANS)","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DEPT; Medicine; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008685461,0.0003265609,0.0007436965,0.001416063,0.0002089281,0.000630943,0.0002859258,0.000313897,0.00865906],"category_scores_gemma":[0.003510719,0.0001006075,0.0004015909,0.001391183,0.00008706901,0.0002351004,0.0002115315,0.0003891202,0.002059827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491525,"about_ca_system_score_gemma":0.0004029995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382643,"about_ca_topic_score_gemma":0.004410475,"domain_scores_codex":[0.9996135,0.0001669624,0.00007267952,0.00004625011,0.0000703768,0.00003021654],"domain_scores_gemma":[0.9989247,0.0004406245,0.0001786571,0.00006250579,0.0001967161,0.0001967884],"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":[0.00706906,0.0006169025,0.2824862,0.0006512263,0.0002553094,0.0006913459,0.00006499138,0.001463356,0.002675799,0.0004492328,0.05830869,0.6452678],"study_design_scores_gemma":[0.002190376,0.002671666,0.8891539,0.001274179,0.001406233,0.005251744,0.0005836929,0.01633033,0.005803164,0.004775316,0.0704699,0.00008941784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.736684,0.1428683,0.009320607,0.01445219,0.001087638,0.0007006988,0.02677524,0.0007383983,0.06737278],"genre_scores_gemma":[0.8983328,0.03231029,0.02595028,0.001952925,0.0008650603,0.000292911,0.02729752,0.0001130082,0.01288519],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00865906,"threshold_uncertainty_score":0.02896744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00899709768831004,"score_gpt":0.2673346038287526,"score_spread":0.2583375061404425,"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."}}