{"id":"W2586660180","doi":"10.1074/mcp.o116.066456","title":"Sharpening Host Defenses during Infection: Proteases Cut to the Chase","year":2017,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canadian Institute for Advanced Research","keywords":"Proteases; Proteome; Biology; Virulence; Proteomics; Computational biology; Metagenomics; Protease; Human pathogen; Pathogen; Microbiology; Bioinformatics; Genetics; Bacteria; Enzyme; Gene; Biochemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0001895979,0.000653064,0.0007757578,0.00008769863,0.0005299361,0.0002842071,0.0007772475,0.0006142302,0.00002145375],"category_scores_gemma":[0.0002957174,0.0004785677,0.0006425349,0.0001512625,0.000104668,0.000009621674,0.0006486688,0.0004623281,0.00006929008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005623966,"about_ca_system_score_gemma":0.0001806628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002618053,"about_ca_topic_score_gemma":0.000007766001,"domain_scores_codex":[0.9976568,0.0001858151,0.0005355389,0.0008914568,0.0002531719,0.0004771831],"domain_scores_gemma":[0.9978457,0.000006494283,0.0005040569,0.001323966,0.0001228518,0.0001969389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006443726,0.00004637786,0.00001120573,0.004820706,0.0003106574,0.0001038954,0.00003006841,0.000008375594,0.9102197,0.00003175449,0.0001276673,0.08422515],"study_design_scores_gemma":[0.0001179779,0.00006505229,0.000006627863,0.0009228222,0.000167978,0.0001170797,9.812214e-7,0.000002406117,0.4427516,0.000005710935,0.5554028,0.0004390429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1159463,0.8767584,0.002422114,0.0001224561,0.0003704998,0.004028254,0.0001947896,0.00005076548,0.0001064583],"genre_scores_gemma":[0.01097001,0.9812618,0.0008254206,0.0001888533,0.001547962,0.001387731,0.002417278,0.0002158583,0.001185058],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5552751,"threshold_uncertainty_score":0.9997666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764566248860232,"score_gpt":0.3053252708265595,"score_spread":0.2676796083379571,"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."}}