{"id":"W2953080604","doi":"10.3390/jof5020052","title":"Mass Spectrometry-Based Proteomics of Fungal Pathogenesis, Host–Fungal Interactions, and Antifungal Development","year":2019,"lang":"en","type":"review","venue":"Journal of Fungi","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Proteomics; Antifungal; Biology; Antifungal drug; Computational biology; Host (biology); Identification (biology); Quantitative proteomics; Fungal pathogen; Pathogen; Microbiology; Ecology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001404198,0.0005882961,0.003453179,0.0008797875,0.0000806024,0.0000475473,0.0002921029,0.0003923596,0.000210955],"category_scores_gemma":[0.0003464607,0.000433934,0.001086771,0.0005171295,0.0001134721,0.0001746454,0.00006792847,0.001259952,0.00003203845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004940808,"about_ca_system_score_gemma":0.003294878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002428015,"about_ca_topic_score_gemma":0.000003764321,"domain_scores_codex":[0.9957016,0.0002380229,0.002286255,0.0004506585,0.0008949975,0.0004284581],"domain_scores_gemma":[0.9958136,0.0004185232,0.002303449,0.0005252915,0.0006187792,0.0003203238],"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":[0.002559017,0.001587783,0.04804135,0.1257141,0.003521782,0.001341877,0.0001675886,0.000001728086,0.03213581,0.0001012181,0.001913181,0.7829145],"study_design_scores_gemma":[0.003866381,0.002572189,0.0286684,0.08201564,0.008576978,0.003779373,0.0002423967,0.00002852438,0.006684445,0.00001908543,0.8620574,0.001489153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008199783,0.9871798,0.002402074,0.0000394845,0.0006850045,0.001072219,0.00008943435,0.00001422285,0.0003179428],"genre_scores_gemma":[0.00438155,0.9479507,0.04636004,0.00004370227,0.0004391994,0.00001085806,0.00003231475,0.00008228879,0.0006993762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8601443,"threshold_uncertainty_score":0.9998112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398653113381112,"score_gpt":0.3431747507967975,"score_spread":0.2891882196629864,"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."}}