{"id":"W2515265297","doi":"10.1038/emi.2016.95","title":"Cryptococcosis and tuberculosis co-infection in mainland China","year":2016,"lang":"en","type":"article","venue":"Emerging Microbes & Infections","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Tuberculosis; Cryptococcosis; Virology; Medicine; Coinfection; Human immunodeficiency virus (HIV); Fluconazole; Immunology; Biology; Microbiology; Antifungal; 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":[0.002032383,0.0005034236,0.0009422303,0.001068916,0.0006862528,0.001109842,0.0009757683,0.003009923,0.00289153],"category_scores_gemma":[0.004646766,0.0003534422,0.0003442933,0.001070934,0.001055861,0.001272852,0.0005738637,0.002810844,0.0007107181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005967694,"about_ca_system_score_gemma":0.001199226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005006021,"about_ca_topic_score_gemma":0.007550928,"domain_scores_codex":[0.9994099,0.0001668001,0.0001221661,0.00008703491,0.0001256351,0.00008840762],"domain_scores_gemma":[0.9974176,0.0008338424,0.0005904086,0.00007666969,0.0005574704,0.0005238593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006410395,0.0001501044,0.1809317,0.002461683,0.000540603,0.0258669,0.001318903,0.0001799313,0.00074439,0.002111662,0.6917694,0.09328382],"study_design_scores_gemma":[0.0003993479,0.0007925468,0.3995911,0.005354201,0.001127021,0.06770246,0.004367249,0.003362359,0.0007708085,0.003238381,0.5130266,0.0002678501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08013653,0.1284585,0.0006195046,0.6765123,0.1079816,0.00006633171,0.001013838,0.00006948687,0.005141877],"genre_scores_gemma":[0.387007,0.1280227,0.0008318715,0.1240599,0.3510845,0.00006674717,0.0005268137,0.00003552042,0.008364988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005006021,"threshold_uncertainty_score":0.01074839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009206175296025515,"score_gpt":0.2785408600933346,"score_spread":0.269334684797309,"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."}}