{"id":"W3199687392","doi":"10.1007/s40279-021-01517-7","title":"Sports Nutrition for Young, Older, and Female Athletes; Plant-Based Ingredients; and Return to Play During COVID-19","year":2021,"lang":"en","type":"editorial","venue":"Sports Medicine","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Gran Sasso Science Institute; PepsiCo","keywords":"Sports medicine; Coronavirus disease 2019 (COVID-19); Athletes; Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Physical therapy; Sports nutrition; Internal medicine; Virology; Outbreak; Infectious disease (medical specialty); Disease","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":[0.00544557,0.002975417,0.00353041,0.002404321,0.002672078,0.004955401,0.003097453,0.01875753,0.01075152],"category_scores_gemma":[0.01675835,0.00109668,0.00262743,0.001216725,0.001432297,0.00246473,0.00120686,0.02035374,0.006645034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002981517,"about_ca_system_score_gemma":0.003031731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004461424,"about_ca_topic_score_gemma":0.01626441,"domain_scores_codex":[0.9975479,0.000529146,0.0003551512,0.0003360368,0.001042209,0.0001895285],"domain_scores_gemma":[0.9867827,0.005998021,0.0007521769,0.0002404292,0.004144632,0.002082116],"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":[0.00008705771,0.00003669573,0.00004551739,0.0003521541,0.00003084308,0.0001344529,0.00001104631,0.00001314835,0.00004055306,0.0001856462,0.9909977,0.008065256],"study_design_scores_gemma":[0.0002594186,0.000112068,0.001235334,0.001382366,0.0001938637,0.0003824416,0.00007128632,0.0001669434,0.0000958614,0.0007458922,0.9953258,0.00002874855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004199223,0.01110684,0.00006266456,0.0288754,0.9580527,0.00002802359,0.00005325494,0.00002196377,0.001757164],"genre_scores_gemma":[0.0003053606,0.007559741,0.00006987438,0.02067847,0.964491,0.00003121779,0.00002894226,0.00001338761,0.006822171],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01875753,"threshold_uncertainty_score":0.03596741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007892431239924369,"score_gpt":0.2643346656280813,"score_spread":0.2564422343881569,"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."}}