{"id":"W4390990804","doi":"10.1016/b978-0-12-818619-0.00106-4","title":"Proteomic analysis of microbial infections","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Proteomics; Proteome; Identification (biology); Computational biology; Computer science; Data science; Biology; Bioinformatics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002279489,0.0006879721,0.0003412263,0.001080391,0.0003353166,0.0008352808,0.000352844,0.0004445678,0.005323399],"category_scores_gemma":[0.0001310804,0.0002804713,0.000387264,0.0009526523,0.0001664998,0.0005316832,0.0005188148,0.0007100614,0.006580298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765736,"about_ca_system_score_gemma":0.0002275448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005576539,"about_ca_topic_score_gemma":0.001365408,"domain_scores_codex":[0.9998537,0.00001160798,0.00000994353,0.00002753778,0.00007892463,0.00001832491],"domain_scores_gemma":[0.9999588,0.000007963204,0.000003735149,0.000005598621,0.00001529462,0.000008748788],"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":[0.00008139756,0.0000437933,0.0002574201,0.0002610663,0.00001390421,0.0002043625,0.00003345105,0.00009192764,0.9478436,0.001199291,0.003324111,0.04664584],"study_design_scores_gemma":[0.000009251592,0.0001892831,0.02914604,0.0001103097,0.00005186331,0.003638065,0.0001269938,0.001416276,0.7397193,0.003214057,0.2223431,0.00003555092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3552166,0.1300488,0.1372095,0.00516801,0.002464529,0.0004238044,0.02259583,0.00280075,0.3440723],"genre_scores_gemma":[0.2799199,0.1238701,0.1369382,0.002010982,0.0008181351,0.0004284687,0.03724019,0.0007631896,0.4180108],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005323399,"threshold_uncertainty_score":0.01780856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247775868921122,"score_gpt":0.2509273140189408,"score_spread":0.2384495553297296,"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."}}