{"id":"W2786961420","doi":"10.1007/s40279-018-0863-y","title":"Nutritional and Environmental Influences on Athlete Health and Performance","year":2018,"lang":"en","type":"editorial","venue":"Sports Medicine","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sports medicine; Medicine; Athletes; Environmental health; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615896,0.0001952335,0.0002621406,0.00006042373,0.0001008817,0.000006089281,0.00006203723,0.0002808638,0.00004085677],"category_scores_gemma":[0.00005481074,0.0001602664,0.00002003706,0.00002225161,0.000371439,0.00000342391,0.00004479439,0.0001658496,0.000001407701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001028147,"about_ca_system_score_gemma":0.00006585134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387172,"about_ca_topic_score_gemma":0.000002103899,"domain_scores_codex":[0.9987856,0.00002350551,0.0002232855,0.0004056304,0.0003913203,0.0001706533],"domain_scores_gemma":[0.9994825,0.00001659028,0.0001458312,0.0001760486,0.00002121805,0.0001578728],"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":[0.0002447841,0.00003608684,0.001716554,0.0002123945,0.00001492995,0.00000311973,0.00004367326,4.698168e-8,0.001078644,0.000003727588,0.9848332,0.01181287],"study_design_scores_gemma":[0.001021609,0.001462724,0.01103511,0.0004841978,0.00001781439,0.00000858525,0.00003855977,0.000001787179,0.0002111047,0.00003280329,0.9855309,0.0001547806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.7964897,0.02401306,0.000002851194,0.0003575473,0.1783899,0.0002391857,0.0002585413,0.000008730612,0.0002405597],"genre_scores_gemma":[0.1118233,0.1190072,0.00007331,0.0007234952,0.7606026,0.00002007653,0.007213692,0.00002779208,0.0005085969],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6846664,"threshold_uncertainty_score":0.6535475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005170739067537498,"score_gpt":0.2393165938661827,"score_spread":0.2341458547986452,"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."}}