{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00244821,0.001089657,0.001531821,0.005266935,0.0006665632,0.001678189,0.0009333249,0.0008161752,0.00448485],"category_scores_gemma":[0.005804648,0.0002918304,0.004332602,0.004500533,0.0002849789,0.001029649,0.0009948498,0.00122924,0.0006289845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147502,"about_ca_system_score_gemma":0.001454208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008381618,"about_ca_topic_score_gemma":0.01617946,"domain_scores_codex":[0.9981923,0.0007697598,0.0001788575,0.0004834301,0.0002353524,0.0001403234],"domain_scores_gemma":[0.9974453,0.00163756,0.0004552272,0.00009526261,0.0002468771,0.0001196854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00387707,0.0006221452,0.6369006,0.01199963,0.02207796,0.001095511,0.0005250337,0.01454966,0.006636858,0.004303981,0.01820697,0.2792047],"study_design_scores_gemma":[0.0006039483,0.002399253,0.703196,0.003745285,0.03780753,0.002797059,0.001397878,0.1603863,0.004246923,0.03028834,0.05276908,0.0003624297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5769063,0.2005693,0.1012647,0.01159618,0.001020754,0.001601145,0.08760359,0.001549415,0.01788861],"genre_scores_gemma":[0.8992373,0.01763891,0.05772707,0.001269693,0.0003148832,0.0009882749,0.02057275,0.00006785215,0.002183294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008381618,"threshold_uncertainty_score":0.01666564,"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."}}