{"id":"W2748302554","doi":"10.1016/j.jand.2017.06.282","title":"Sports Nutrition Knowledge among in-coming Division I University Student-Athletes","year":2017,"lang":"en","type":"article","venue":"Journal of the Academy of Nutrition and Dietetics","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute","funders":"","keywords":"Athletes; Sports nutrition; Division (mathematics); Medical education; Psychology; Gerontology; Medicine; Physical therapy; Mathematics","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":[0.0003428445,0.00008532113,0.0001801647,0.00008701622,0.0001689906,0.00002327971,0.0003052073,0.0001484852,0.000002244926],"category_scores_gemma":[0.00008325453,0.00007112287,0.0001228155,0.00004470395,0.0001644106,0.00003053554,0.0001630751,0.0001795987,1.331157e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000113741,"about_ca_system_score_gemma":0.00001150326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001883403,"about_ca_topic_score_gemma":0.000002679712,"domain_scores_codex":[0.9992884,0.00007506375,0.0002673469,0.0001058976,0.0001596804,0.0001035699],"domain_scores_gemma":[0.9992376,0.00001815087,0.0004823394,0.0001267269,0.00007789224,0.00005727508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007522458,0.003472915,0.2682223,0.0008741843,0.0001024475,0.00001530864,0.0004072793,0.00001415514,0.6916202,0.0008523545,0.007586683,0.02607993],"study_design_scores_gemma":[0.002985732,0.0001206613,0.9127805,0.0008301132,0.00004706878,0.00001244215,0.0002421543,0.00001760241,0.05456587,0.001062168,0.02723639,0.00009934303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948375,0.003683969,0.00004005738,0.0009886289,0.0001635696,0.0001273731,0.000008622415,0.000001243692,0.0001489932],"genre_scores_gemma":[0.9855133,0.01384344,0.0003333619,0.00003005337,0.0002280257,5.848432e-7,0.000001667247,0.000005846693,0.00004374032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6445581,"threshold_uncertainty_score":0.2900307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162414525988018,"score_gpt":0.2892599793323773,"score_spread":0.2730185267335756,"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."}}