{"id":"W4403072699","doi":"10.1007/978-1-0716-4075-3","title":"Proteomics Applied to Foods","year":2024,"lang":"en","type":"book","venue":"Methods and protocols in food science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, San Francisco; Norges Miljø- og Biovitenskapelige Universitet; University of Toronto; University of Limerick; Universitetet i Oslo; Consejo Nacional de Investigaciones Científicas y Técnicas; Università degli Studi di Milano; South Dakota State University; Universidad Complutense de Madrid; Directorate for Biological Sciences; Università degli Studi di Napoli Federico II","keywords":"Proteomics; Computational biology; Computer science; Biology; Biochemistry","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":[0.0005387474,0.001350386,0.001113047,0.001747846,0.0007778258,0.001895243,0.001260345,0.001306963,0.01528329],"category_scores_gemma":[0.0003885044,0.0007484041,0.0008051052,0.001891434,0.001149577,0.002033955,0.001780701,0.00201641,0.01944966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900151,"about_ca_system_score_gemma":0.0005889368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000776791,"about_ca_topic_score_gemma":0.0007797471,"domain_scores_codex":[0.9995005,0.00005074214,0.00001870916,0.000114444,0.0002817079,0.00003393715],"domain_scores_gemma":[0.9999151,0.00002040109,0.000003977423,0.00001723706,0.00003410879,0.000009208033],"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":[0.00008762042,0.00006247241,0.0001300882,0.001713643,0.00004826996,0.0003272708,0.0002294196,0.001202858,0.1907197,0.09779795,0.09907892,0.6086018],"study_design_scores_gemma":[0.000004938503,0.00005224446,0.0002982487,0.000159392,0.00001358036,0.000655538,0.00004063567,0.001029684,0.03146306,0.02717141,0.939091,0.00002031062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004925381,0.2860022,0.3215563,0.003667532,0.01098725,0.0003917686,0.001000892,0.003157871,0.3683109],"genre_scores_gemma":[0.0226838,0.170623,0.1321297,0.002726244,0.001519133,0.0004950727,0.00121548,0.000621337,0.6679863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01528329,"threshold_uncertainty_score":0.05112767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06618593052756985,"score_gpt":0.4374608964772903,"score_spread":0.3712749659497204,"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."}}