{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001463161,0.0003283773,0.001216342,0.0002922842,0.000378733,0.00009624874,0.0002457099,0.0002084801,0.000020181],"category_scores_gemma":[0.00175679,0.0001780637,0.0002122348,0.0008979775,0.001065055,0.0001112424,0.0002943722,0.0006804961,0.0003516947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008797224,"about_ca_system_score_gemma":0.0003132934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003225936,"about_ca_topic_score_gemma":0.0001472209,"domain_scores_codex":[0.9975604,0.0003593494,0.0004655011,0.0006986418,0.0002946716,0.0006214415],"domain_scores_gemma":[0.9977869,0.001269074,0.000128582,0.0005495496,0.00006269736,0.0002031383],"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":[0.000007200203,0.00006871948,0.000814774,0.009107893,0.0002352914,0.00005327089,0.0001339235,6.338945e-8,0.0002103709,0.0004407528,0.02537688,0.9635509],"study_design_scores_gemma":[0.0001110251,0.0001634197,0.001513563,0.002862004,0.0003502205,0.0008270523,0.00002258425,0.00003660969,0.00001088961,0.00008003863,0.9938377,0.0001848683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00135284,0.9933466,0.00001093447,0.002033145,0.0002481113,0.0008945483,0.00006194609,0.00009814487,0.001953766],"genre_scores_gemma":[0.0001464973,0.9982579,0.00003762999,0.0004932752,0.0002480862,0.0001897394,0.00002689597,0.00003369997,0.0005663224],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9684609,"threshold_uncertainty_score":0.7261229,"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."}}