{"id":"W4362717657","doi":"10.1016/j.isci.2023.106629","title":"Mycobacterium tuberculosis and SARS-CoV-2 co-infections: The knowns and unknowns","year":2023,"lang":"en","type":"review","venue":"iScience","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo; University of British Columbia; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation; Innovation Saskatchewan","keywords":"Mycobacterium tuberculosis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Tuberculosis; Virology; Microbiology; Betacoronavirus; Medicine; Biology; Infectious disease (medical specialty); Disease; Pathology; Outbreak","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":[0.0008125586,0.0006221199,0.001432797,0.001828865,0.000270683,0.001144549,0.0007451281,0.001482756,0.003240855],"category_scores_gemma":[0.001454689,0.0002626474,0.0006693218,0.001643578,0.0006109445,0.001727432,0.0007054647,0.002163385,0.001189427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006457745,"about_ca_system_score_gemma":0.001734435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070728,"about_ca_topic_score_gemma":0.002116227,"domain_scores_codex":[0.9997111,0.00007261567,0.00004707686,0.00004849135,0.00008755697,0.00003304727],"domain_scores_gemma":[0.9992616,0.0004088566,0.0000972909,0.00002282088,0.0001490887,0.00006028999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001412209,0.00006435298,0.0003450424,0.02546794,0.0001756808,0.0002079853,0.00009076747,0.0002865911,0.0009704566,0.006012294,0.03167013,0.9345676],"study_design_scores_gemma":[0.00002149637,0.0001219878,0.001268037,0.009826896,0.0002066701,0.001404444,0.000123449,0.0001007066,0.0002565755,0.003959134,0.9826906,0.00002002074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004921083,0.9991065,0.00003178545,0.0003681342,0.0001713095,0.000001284642,0.00000602417,0.00000247892,0.0002632167],"genre_scores_gemma":[0.0004180535,0.9989397,0.00005143944,0.0002035438,0.0001937173,0.000002019174,0.00001071039,5.859589e-7,0.0001802708],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003240855,"threshold_uncertainty_score":0.01084173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228470337545358,"score_gpt":0.434823672791021,"score_spread":0.3119766390364852,"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."}}