{"id":"W2751710860","doi":"10.1093/rheumatology/kex062.246","title":"244. T CELL SIGNATURES PREDICTING RESPONSE TO BIOLOGICS IN RHEUMATOID ARTHRITIS: TOWARDS DEVELOPMENT OF A 34 PARAMETER MASS CYTOMETRY PANEL","year":2017,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"Medicine; Mass cytometry; Rheumatoid arthritis; Flow cytometry; Immunology; Cytometry; Biochemistry","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":[0.00230158,0.0007484544,0.0007100831,0.002493144,0.0002605906,0.001357118,0.0004884206,0.0008347418,0.004137861],"category_scores_gemma":[0.002198494,0.0002858677,0.0005255813,0.0007280383,0.0002631957,0.0004808879,0.0006085823,0.0006680029,0.002385376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004100859,"about_ca_system_score_gemma":0.0003728726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603488,"about_ca_topic_score_gemma":0.0003975318,"domain_scores_codex":[0.9990094,0.0003389467,0.00008763214,0.0001736449,0.0003098042,0.00008062418],"domain_scores_gemma":[0.9986767,0.0004921699,0.000282436,0.00009244055,0.0003377812,0.0001185505],"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":[0.002945283,0.0004804495,0.3560832,0.0003681413,0.0002754625,0.0003339935,0.0001662894,0.01117815,0.4201422,0.0007570413,0.004324477,0.2029452],"study_design_scores_gemma":[0.0002412417,0.003744891,0.5738929,0.0002582519,0.0004724611,0.003496576,0.0002771394,0.1373906,0.2521117,0.003814961,0.02414076,0.0001585179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027208,0.003179737,0.0778563,0.0007047103,0.0001121206,0.0005897252,0.005495774,0.001780275,0.007560583],"genre_scores_gemma":[0.9360963,0.0005559282,0.0549173,0.000334407,0.0001302733,0.0004253542,0.004935892,0.00006930617,0.002535325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004137861,"threshold_uncertainty_score":0.01384258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05379803525999365,"score_gpt":0.3169686408176138,"score_spread":0.2631706055576202,"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."}}