{"id":"W2412582391","doi":"10.1007/978-1-62703-589-7_5","title":"Methods and Applications of Serological Proteome Analysis","year":2013,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"U.S. Public Health Service","keywords":"Proteome; Serology; Biology; Immunology; Identification (biology); Disease; Repertoire; Antigen; Computational biology; Virology; Antibody; Medicine; Bioinformatics; Pathology","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":[0.003511452,0.00146039,0.0009169605,0.005413063,0.001028078,0.001990573,0.00172434,0.001395217,0.004368855],"category_scores_gemma":[0.004196689,0.001211729,0.0009170006,0.003142194,0.001088215,0.001358947,0.001925575,0.00252933,0.005954543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725651,"about_ca_system_score_gemma":0.001157313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006615433,"about_ca_topic_score_gemma":0.0007643943,"domain_scores_codex":[0.99604,0.001091428,0.0002910837,0.0007536928,0.001642694,0.0001811881],"domain_scores_gemma":[0.9975889,0.0006934786,0.0002355583,0.0005791272,0.0007553098,0.0001477268],"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":[0.0001810517,0.0002246705,0.003396962,0.001454414,0.0001027096,0.0003515847,0.0003649353,0.001579858,0.7047767,0.03261368,0.005304375,0.2496491],"study_design_scores_gemma":[0.00006142243,0.0005353604,0.008279193,0.0004386594,0.0001253466,0.003418075,0.0002741428,0.01743558,0.634086,0.03085549,0.3042152,0.0002756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01040955,0.01006512,0.961715,0.0007026336,0.0004413054,0.0006596875,0.001612068,0.00209007,0.0123047],"genre_scores_gemma":[0.05153352,0.0174194,0.9163902,0.0006151117,0.0003134656,0.002257187,0.002416406,0.0003965431,0.008658039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005413063,"threshold_uncertainty_score":0.0185706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094436113546351,"score_gpt":0.4241386792483252,"score_spread":0.4031943181128617,"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."}}