{"id":"W4393285629","doi":"10.1007/978-1-0716-3646-6","title":"Peptidomics","year":2024,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Laboratório Nacional de Biociências; Lomonosov Moscow State University; Nebraska Center for Integrated Biomolecular Communication; Centro Nacional de Pesquisa em Energia e Materiais; Universidade Estadual Paulista; Science for Life Laboratory; Ulster University; University of Nebraska-Lincoln; Uppsala Universitet; Novo Nordisk Foundation Center for Basic Metabolic Research; Novo Nordisk; Universiteit Antwerpen; University of Illinois at Urbana-Champaign; Skolkovo Institute of Science and Technology; Universidade de São Paulo; KU Leuven; Technische Universität München; University of Toronto; University of Wisconsin-Madison","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004773708,0.00128448,0.001011648,0.001112526,0.0004833602,0.001921148,0.000894879,0.0008703467,0.04001692],"category_scores_gemma":[0.0004010352,0.0006085348,0.0004930625,0.0009717186,0.0004628598,0.001335683,0.00117261,0.001946701,0.04566013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005513981,"about_ca_system_score_gemma":0.0005407481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005347984,"about_ca_topic_score_gemma":0.001025717,"domain_scores_codex":[0.9995528,0.00002855274,0.00001221518,0.0001048582,0.0002628237,0.00003861918],"domain_scores_gemma":[0.99986,0.0000264691,0.000008103812,0.00003191343,0.00004807781,0.00002544943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002016178,0.00007334041,0.0001987162,0.0007413288,0.0000407552,0.000138643,0.00005459466,0.0009238514,0.189976,0.03326163,0.2413642,0.5330253],"study_design_scores_gemma":[0.00001204933,0.00005530234,0.0004486118,0.00006891032,0.00001569258,0.0004211153,0.00002087014,0.001636361,0.07043833,0.01083294,0.9160253,0.00002460656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006975802,0.07192498,0.4142969,0.004014138,0.006902364,0.0003908494,0.01197634,0.01207592,0.4714428],"genre_scores_gemma":[0.0280365,0.03825643,0.1430634,0.002484625,0.001536078,0.000422497,0.01378639,0.002168621,0.7702454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04001692,"threshold_uncertainty_score":0.1338699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620430691663879,"score_gpt":0.3711164598089957,"score_spread":0.3549121528923569,"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."}}