{"id":"W3213139065","doi":"10.1002/cti2.1355","title":"Serological and cellular inflammatory signatures in end‐stage kidney disease and latent tuberculosis","year":2021,"lang":"en","type":"article","venue":"Clinical & Translational Immunology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Manitoba; Public Health Agency of Canada","funders":"National Health and Medical Research Council","keywords":"Latent tuberculosis; Tuberculosis; Serology; Immunology; Disease; Stage (stratigraphy); Medicine; Virology; Biology; Pathology; Antibody; Mycobacterium tuberculosis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007903691,0.0001710884,0.0005560582,0.0001048146,0.00006502379,0.00001110634,0.00006812628,0.0004431562,0.0009250645],"category_scores_gemma":[0.002015335,0.0001431792,0.0001505603,0.0001231412,0.0007279116,0.00007080637,0.00007825036,0.0009110058,0.00001824476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001742798,"about_ca_system_score_gemma":0.0002977022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001877846,"about_ca_topic_score_gemma":0.00003248761,"domain_scores_codex":[0.9974525,0.0007549578,0.0007021801,0.0005455469,0.00015919,0.0003856486],"domain_scores_gemma":[0.9976131,0.001509865,0.00005199998,0.0002269619,0.0000961287,0.0005018993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001385385,0.0003779744,0.9755154,0.00008260361,0.0003043493,0.0007903197,0.00004577201,0.0000350701,0.0116706,0.005656883,0.0003927736,0.003742829],"study_design_scores_gemma":[0.002576407,0.0002445799,0.9830143,0.00004249049,0.0000759173,0.00003116143,0.00001792307,0.001090277,0.0001736105,0.002409282,0.01019624,0.0001278379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434847,0.01264111,0.00005516097,0.04315048,0.0001131565,0.0002269392,0.00004920124,0.00002968049,0.0002495421],"genre_scores_gemma":[0.9888756,0.00436513,0.0004532725,0.005653061,0.0001181459,0.00002421736,0.0002632088,0.00001374073,0.0002336209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04539088,"threshold_uncertainty_score":0.9999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04600037451375182,"score_gpt":0.3567738465343517,"score_spread":0.3107734720205999,"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."}}