{"id":"W4387580534","doi":"10.3389/fnut.2023.1306052","title":"Editorial: Metabolic response: nexus or nemesis for the understanding of sports nutrition and doping","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Nutrition","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Discovery Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Federal do Estado do Rio de Janeiro; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Nexus (standard); Front (military); Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004138152,0.003999803,0.002716516,0.002608879,0.002621947,0.005356468,0.002717739,0.01110798,0.03611605],"category_scores_gemma":[0.0177704,0.0007881336,0.001899143,0.0008425889,0.001818682,0.003597525,0.00144355,0.01279065,0.02374607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997619,"about_ca_system_score_gemma":0.002055565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118124,"about_ca_topic_score_gemma":0.003425493,"domain_scores_codex":[0.9975714,0.0004514165,0.0002764179,0.0003982797,0.001091115,0.0002114373],"domain_scores_gemma":[0.9891319,0.003650505,0.0007179021,0.0002451771,0.003865797,0.002388794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004167144,0.000007566551,0.0000174473,0.0001029053,0.0000073968,0.00007410205,0.000006497853,0.00001273475,0.00003876142,0.0001699623,0.996445,0.003075928],"study_design_scores_gemma":[0.00007565653,0.00003420363,0.0002193031,0.000354473,0.00003194115,0.0003500846,0.00004352718,0.0001316184,0.0001166632,0.001233041,0.997391,0.0000185584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002826843,0.002502176,0.00009038309,0.02729603,0.9684216,0.00001520131,0.0000557376,0.00005933547,0.001531308],"genre_scores_gemma":[0.0004056361,0.002245862,0.0000820942,0.01986964,0.9655809,0.0000193517,0.00003827505,0.00004315363,0.01171504],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03611605,"threshold_uncertainty_score":0.1208202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810328979082304,"score_gpt":0.2776118780333055,"score_spread":0.2595085882424825,"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."}}