{"id":"W1996971137","doi":"10.1128/cvi.00263-07","title":"Development and Evaluation of a Real-Time Reverse Transcription-PCR Assay for Quantification of Gamma Interferon mRNA To Diagnose Tuberculosis in Multiple Animal Species","year":2007,"lang":"en","type":"article","venue":"Clinical and Vaccine Immunology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Canadian Food Inspection Agency","funders":"Parks Canada; Canadian Food Inspection Agency","keywords":"Biology; Tuberculin; Mycobacterium bovis; Tuberculosis; Antigen; Interferon gamma; Virology; Real-time polymerase chain reaction; Immunology; Reverse transcription polymerase chain reaction; Immunity; Immune system; Mycobacterium tuberculosis; Messenger RNA; Medicine; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003308447,0.001568785,0.0009647131,0.001129898,0.0004519265,0.0008682035,0.0008486842,0.001223269,0.001036407],"category_scores_gemma":[0.00253541,0.0007587225,0.0007824323,0.0004956215,0.001014787,0.0005051905,0.0003463225,0.001280687,0.0008693578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005203945,"about_ca_system_score_gemma":0.0009194149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004709997,"about_ca_topic_score_gemma":0.001183896,"domain_scores_codex":[0.9959787,0.001088549,0.0003667547,0.001284323,0.001060966,0.000220671],"domain_scores_gemma":[0.9975763,0.001153761,0.0002630264,0.0002737067,0.0006554601,0.00007765168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009983115,0.0001136377,0.001007695,0.00009417858,0.00001743493,0.0000363563,0.0000857567,0.0004214108,0.992911,0.000136086,0.0000480057,0.005028549],"study_design_scores_gemma":[0.00007190055,0.001692064,0.004453281,0.00006419631,0.0000959906,0.0003807328,0.00009777944,0.009426945,0.9792765,0.0002076813,0.004193415,0.00003955298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3523243,0.002034826,0.6360344,0.000267074,0.000376121,0.002882232,0.001603994,0.0008459936,0.00363093],"genre_scores_gemma":[0.229813,0.001281411,0.7569102,0.0004638199,0.00009626753,0.004172732,0.002918957,0.0001564024,0.004187195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003308447,"threshold_uncertainty_score":0.01749694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382903126007682,"score_gpt":0.4178445208251207,"score_spread":0.2795542082243525,"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."}}