{"id":"W2574714019","doi":"10.1016/j.ebiom.2017.01.017","title":"A 10-Gene Signature for the Diagnosis and Treatment Monitoring of Active Tuberculosis Using a Molecular Interaction Network Approach","year":2017,"lang":"en","type":"letter","venue":"EBioMedicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tuberculosis; Signature (topology); Case finding; Computational biology; Gene; Gene signature; Medicine; Bioinformatics; Computer science; Biology; Genetics; Pathology; Gene expression; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004782179,0.0004463839,0.001221872,0.0002497532,0.0002519861,0.00002179402,0.0001963646,0.0007795982,0.00009635861],"category_scores_gemma":[0.0007147525,0.0002605689,0.0003338024,0.0001658925,0.0004056714,0.00006379924,0.00009661443,0.001010967,0.000002975458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553408,"about_ca_system_score_gemma":0.0001226224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007108152,"about_ca_topic_score_gemma":0.000003447987,"domain_scores_codex":[0.997717,0.0001827174,0.00045352,0.0006223748,0.0003868751,0.0006375134],"domain_scores_gemma":[0.9970494,0.001362962,0.0004174052,0.0007863892,0.0002321808,0.0001516503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002299436,0.000332066,0.004531567,0.001389435,0.007074892,0.0004062492,0.0004629723,0.0001987665,0.008563699,0.000002015871,0.8447503,0.1299886],"study_design_scores_gemma":[0.004550049,0.004313971,0.00535746,0.002025763,0.004947133,0.0004907057,0.0002620712,0.002977568,0.007130855,0.000056064,0.9674012,0.0004871472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08618872,0.04158272,0.002210702,0.8599696,0.001657595,0.006966765,0.000451528,0.0000779796,0.0008943584],"genre_scores_gemma":[0.4084049,0.05419828,0.04560738,0.2696805,0.17592,0.01405926,0.01210802,0.001358115,0.01866363],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5902892,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08249847905470695,"score_gpt":0.3756566371729834,"score_spread":0.2931581581182764,"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."}}