{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005898288,0.001034483,0.0003574834,0.001064946,0.0004460238,0.0004475905,0.0004512997,0.0004451507,0.00169238],"category_scores_gemma":[0.0005744231,0.0002843504,0.0003804492,0.0009587292,0.0002923824,0.0002894392,0.0004277715,0.000704018,0.00147507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000418734,"about_ca_system_score_gemma":0.000686231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046415,"about_ca_topic_score_gemma":0.003628494,"domain_scores_codex":[0.9995162,0.00005924252,0.00004075024,0.00009571837,0.0002204713,0.0000675926],"domain_scores_gemma":[0.9997256,0.00005482689,0.00004786316,0.00003223079,0.0001093301,0.00003013017],"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":[0.00005202705,0.00002712293,0.0002419728,0.00009740319,0.000006112808,0.00004431919,0.00002371803,0.00007718238,0.9965194,0.00007694455,0.0002326937,0.002601103],"study_design_scores_gemma":[0.00001207633,0.0002168757,0.01159756,0.00008398033,0.00002651687,0.0003409407,0.00006166003,0.001645412,0.9715485,0.0001595572,0.01427491,0.00003203994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7829995,0.00747459,0.1345254,0.00122452,0.000388485,0.002930091,0.04718135,0.002983938,0.02029213],"genre_scores_gemma":[0.538942,0.01492972,0.3307569,0.001436917,0.0001465277,0.004722483,0.08105319,0.001027761,0.02698449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002046415,"threshold_uncertainty_score":0.005661607,"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."}}