{"id":"W114024024","doi":"10.1007/978-3-7091-1328-8_18","title":"Measurement of Synthesis and Degradation of Proteins","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Degradation (telecommunications); Computer science; Telecommunications","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":[0.0006706365,0.001644175,0.001093842,0.001640632,0.0003144545,0.001159312,0.002083471,0.001380225,0.008906638],"category_scores_gemma":[0.0005049733,0.0007731019,0.0006177707,0.001758838,0.0008446476,0.001989297,0.0009766755,0.002007437,0.01383941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008782299,"about_ca_system_score_gemma":0.0004811741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006977747,"about_ca_topic_score_gemma":0.001467612,"domain_scores_codex":[0.9992862,0.00006170365,0.00002343034,0.0002212035,0.0003714232,0.00003595533],"domain_scores_gemma":[0.9998023,0.00009036819,0.00001583414,0.00003003605,0.0000475105,0.00001389263],"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":[0.0001294284,0.00008286101,0.0002447293,0.001153033,0.00003708825,0.00009536353,0.00004713567,0.0004289544,0.5424414,0.01730314,0.03355725,0.4044795],"study_design_scores_gemma":[0.00001192092,0.00009935367,0.001541617,0.0001898041,0.00004179403,0.0009229362,0.00004234625,0.001908629,0.5932046,0.0159264,0.3860509,0.00005970326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006617834,0.1852609,0.6353124,0.00258234,0.00577294,0.0002499452,0.003856776,0.005223836,0.1551229],"genre_scores_gemma":[0.04031716,0.1348784,0.317693,0.002468022,0.001240037,0.0007258709,0.003906621,0.001492903,0.4972781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008906638,"threshold_uncertainty_score":0.02979565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997956636629637,"score_gpt":0.2050535623202401,"score_spread":0.1850739959539437,"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."}}