{"id":"W2719995588","doi":"10.1016/j.ebiom.2017.06.019","title":"Identification of Host Proteins Predictive of Early Stage Mycobacterium tuberculosis Infection","year":2017,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Georgia Clinical and Translational Science Alliance","keywords":"Mycobacterium tuberculosis; Tuberculosis; Tuberculin; Medicine; Immunology; Logistic regression; Internal medicine; Nontuberculous mycobacteria; Mycobacterium; Pathology","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":[0.0003768473,0.0003466429,0.0003604926,0.0007363426,0.0002191034,0.0006729718,0.0001307509,0.0004233782,0.0005806368],"category_scores_gemma":[0.001471732,0.0001991579,0.0001586424,0.0005684345,0.0001766048,0.0002414958,0.0002916994,0.0003858002,0.0001919645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107308,"about_ca_system_score_gemma":0.0001118364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004735902,"about_ca_topic_score_gemma":0.0005192195,"domain_scores_codex":[0.9998281,0.00006084271,0.00001560307,0.0000364405,0.00002712639,0.00003177172],"domain_scores_gemma":[0.9994184,0.0001773909,0.0002492782,0.00003174707,0.00005995866,0.00006338044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007644293,0.00009889983,0.9619036,0.00004631374,0.00006514351,0.0002118662,0.00009402529,0.0002734835,0.02923685,0.00002395856,0.000131948,0.007149579],"study_design_scores_gemma":[0.00001436592,0.0002333763,0.9926292,0.0000141312,0.00003710977,0.0008395328,0.0001432673,0.001217267,0.00446692,0.00004749849,0.0003520226,0.000005304788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991412,0.000468942,0.0001479488,0.0000207228,0.000002861756,0.000003596721,0.0001148574,0.000004506925,0.00009541283],"genre_scores_gemma":[0.9989881,0.0001830717,0.0005267372,0.0000188106,0.000007390375,0.000003932845,0.0001764248,0.00000141125,0.00009410596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007363426,"threshold_uncertainty_score":0.001993001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576383371998774,"score_gpt":0.340360954191873,"score_spread":0.3145971204718852,"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."}}