{"id":"W4289755264","doi":"10.1186/s12979-022-00291-y","title":"Novel approach to analysis of the immune system using an ungated model of immune surface marker abundance to predict health outcomes","year":2022,"lang":"en","type":"article","venue":"Immunity & Ageing","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Medical Research Council; Medical Research Council; Fonds de Recherche du Québec - Santé; Biomedical Research Council; Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Immune system; Abundance (ecology); Medicine; Antibody; Immunology; Computational biology; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001164437,0.0001562641,0.0004697097,0.0001100515,0.0004396598,0.00001601482,0.0006148025,0.00005762968,0.000002789786],"category_scores_gemma":[0.00006536201,0.0001451501,0.0002870209,0.001040862,0.00004475301,0.000007252225,0.0005781946,0.00016995,9.913002e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125998,"about_ca_system_score_gemma":0.0001678786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005447531,"about_ca_topic_score_gemma":0.00009795468,"domain_scores_codex":[0.99828,0.0003826242,0.0005150632,0.0002394399,0.0002753344,0.0003074625],"domain_scores_gemma":[0.998633,0.0000188041,0.0003623287,0.0007970023,0.0001161335,0.00007277483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002871483,0.0002366461,0.004478397,0.00003673272,0.0005831801,6.42149e-8,0.0007857817,0.5837944,0.4099075,0.0000372162,0.000003754361,0.0001076674],"study_design_scores_gemma":[0.001774095,0.0004892786,0.2246833,0.0001822646,0.001024131,0.000001885087,0.02561501,0.6830392,0.06207693,0.000006783459,0.000304267,0.0008028287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903858,0.0006145703,0.007939355,0.0000898219,0.00007086175,0.0003679526,0.0002419168,0.00001430186,0.0002754415],"genre_scores_gemma":[0.9974546,0.00001055236,0.002042941,0.000130335,0.000004295113,0.00001259593,0.0001577388,0.00002543294,0.0001614738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3478306,"threshold_uncertainty_score":0.8235074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108412856645205,"score_gpt":0.2606276500174272,"score_spread":0.2395435214509751,"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."}}