{"id":"W2993763753","doi":"10.1002/cpmc.94","title":"Quantitative Proteomic Profiling of <i>Cryptococcus neoformans</i>","year":2019,"lang":"en","type":"article","venue":"Current Protocols in Microbiology","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Guelph","keywords":"Cryptococcus neoformans; Biology; Proteome; Cryptococcosis; Proteomics; Quantitative proteomics; Virulence; Computational biology; Microbiology; Bioinformatics; Gene; Genetics","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":[0.0002495777,0.0001449038,0.0004536927,0.0001604899,0.00002889674,0.000003979931,0.0000813992,0.00008964982,0.0000839466],"category_scores_gemma":[0.00006126039,0.0001122419,0.00008765005,0.0002165517,0.0001306622,0.00005366664,0.00007644743,0.0003048856,0.000121123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006197678,"about_ca_system_score_gemma":0.000102113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007754975,"about_ca_topic_score_gemma":0.000004015549,"domain_scores_codex":[0.9989541,0.00006639967,0.0004292311,0.0002479278,0.00003685066,0.0002655379],"domain_scores_gemma":[0.9994395,0.00004961892,0.0001486674,0.0002121028,0.0001232017,0.00002696099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004169414,0.0003181341,0.2580574,0.0009143624,0.00003184864,0.000001211169,0.0001822145,0.0000112483,0.7369955,0.001839379,0.0001981414,0.00103369],"study_design_scores_gemma":[0.008776373,0.006396058,0.02889609,0.003139073,0.00004964682,0.00006916438,0.0003202754,0.0002272694,0.9039985,0.0005564627,0.04706015,0.0005109448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964225,0.0002634412,0.0001258338,0.00005157224,0.0002476047,0.1015177,0.00002346591,0.00002715015,0.001320761],"genre_scores_gemma":[0.7892333,0.000074292,0.008100923,0.0001077005,0.0001079867,0.2019905,0.000103633,0.0000429385,0.0002387361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2291613,"threshold_uncertainty_score":0.4577092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0426074430448807,"score_gpt":0.3736139142552838,"score_spread":0.3310064712104032,"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."}}