{"id":"W3127236674","doi":"10.1038/s41579-021-00511-0","title":"Treatment strategies for cryptococcal infection: challenges, advances and future outlook","year":2021,"lang":"en","type":"review","venue":"Nature Reviews Microbiology","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":357,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health; Canadian Institute for Advanced Research","keywords":"Cryptococcus gattii; Cryptococcus neoformans; Cryptococcosis; Cryptococcus; Biology; Drug resistance; Antifungal drug; Cryptococcal meningitis; Antifungal; Disease; Immunology; Intensive care medicine; Microbiology; Medicine; Human immunodeficiency virus (HIV); Internal medicine; Viral disease","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001863464,0.0006797606,0.004296165,0.0001474107,0.0001695799,0.00002614199,0.00005773639,0.001489901,0.00005877496],"category_scores_gemma":[0.00005509724,0.0003926246,0.001091057,0.0001811545,0.0001231794,0.00006077908,0.00005316906,0.0008627714,0.00001989662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919588,"about_ca_system_score_gemma":0.0003052554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003077871,"about_ca_topic_score_gemma":0.00007124664,"domain_scores_codex":[0.9979692,0.0002633244,0.0006778109,0.0007359548,0.00002854192,0.0003252029],"domain_scores_gemma":[0.9988312,0.0002099627,0.0003390784,0.0003830751,0.0001560352,0.00008068761],"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":[0.000008006979,0.0001010763,0.000002601486,0.04179397,0.0005148876,0.00001139761,0.00003255033,7.191478e-9,0.000004927776,0.002560823,0.002485461,0.9524843],"study_design_scores_gemma":[0.0004317099,0.0008204148,0.000002093468,0.007277508,0.002216947,0.001961041,0.00004266769,3.22999e-8,8.103181e-7,0.00002860161,0.9869125,0.0003057088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.26406e-7,0.9928221,0.00001247324,0.000481713,0.001411588,0.003598971,0.000131907,0.00004918259,0.00149153],"genre_scores_gemma":[2.734447e-7,0.9936351,0.0007533486,0.0001215424,0.002687969,0.001574459,0.0006987915,0.0000418047,0.0004867178],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.984427,"threshold_uncertainty_score":0.9998525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06617595578603855,"score_gpt":0.4027023698918112,"score_spread":0.3365264141057727,"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."}}