{"id":"W2909794724","doi":"10.3934/mbe.2019026","title":"Identifying candidate diagnostic markers for tuberculosis: A critical role of co-expression and pathway analysis","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Biology; Gene; Mycobacterium tuberculosis; Tuberculosis; Computational biology; Gene expression; Genetics; Gene expression profiling; DNA microarray; Medicine","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":[0.001221372,0.0004913906,0.0008089592,0.00216008,0.0005183227,0.001108397,0.0003196366,0.0002752922,0.0009919051],"category_scores_gemma":[0.002096867,0.0001685492,0.0006778945,0.002182357,0.0003882347,0.0006859266,0.0005812249,0.0005070821,0.0002130407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050456,"about_ca_system_score_gemma":0.0008295386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008139411,"about_ca_topic_score_gemma":0.001493899,"domain_scores_codex":[0.9990637,0.0003841903,0.00006140927,0.0002341921,0.0001541826,0.0001022326],"domain_scores_gemma":[0.9987929,0.0006677578,0.0002046329,0.0001157771,0.0001300768,0.00008884344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001570427,0.0004467054,0.4399157,0.001367214,0.001002507,0.001100588,0.000601783,0.01162178,0.3304804,0.003348467,0.000737743,0.2078067],"study_design_scores_gemma":[0.00007974448,0.0008123425,0.78595,0.0001605682,0.001092018,0.002201484,0.001351218,0.1271182,0.05762513,0.01535549,0.008123557,0.0001302284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9022342,0.005587596,0.08861125,0.0007695348,0.00002908005,0.0001497793,0.001314044,0.0002955802,0.00100896],"genre_scores_gemma":[0.95899,0.001039544,0.03873453,0.00005699279,0.00001984347,0.00009964654,0.0007413867,0.00002690948,0.000291017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00216008,"threshold_uncertainty_score":0.006459296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137148420978871,"score_gpt":0.3148083108461935,"score_spread":0.3010934687483064,"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."}}