{"id":"W2152904312","doi":"10.1123/ijsnem.22.1.31","title":"Dietary Supplementation Practices in Canadian High-Performance Athletes","year":2012,"lang":"en","type":"article","venue":"International Journal of Sport Nutrition and Exercise Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Food and Drug Administration; Health Research Board","keywords":"Athletes; Medicine; Multivitamin; Sports nutrition; Sports medicine; Meal; Dietary supplement; Elite athletes; Physical therapy; Population; Performance enhancement; Family medicine; Environmental health; Vitamin; Food science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006479766,0.0002329428,0.0002915462,0.001122155,0.003651066,0.00115475,0.000594587,0.0004941614,0.00180578],"category_scores_gemma":[0.001800939,0.0002478503,0.0002603177,0.002288173,0.0007086542,0.0002194414,0.0005313308,0.0003813319,0.0001810787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008264423,"about_ca_system_score_gemma":0.01352369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9761051,"about_ca_topic_score_gemma":0.9880477,"domain_scores_codex":[0.9991764,0.00006884345,0.00005140328,0.00008917454,0.0004302926,0.0001836706],"domain_scores_gemma":[0.9988,0.0001071887,0.0002355159,0.00002313974,0.000532436,0.0003016054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009629435,0.0001450849,0.9581026,0.0001307821,0.00004247137,0.0003198335,0.01555005,0.00006613375,0.001002789,0.00011052,0.001562935,0.02287061],"study_design_scores_gemma":[0.000004574762,0.00007484557,0.9849533,0.00006310231,0.00001995752,0.0001964036,0.01213379,0.00009306477,0.0001463909,0.00001480347,0.002280979,0.00001857937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963013,0.0004381748,0.0000389628,0.0002467332,0.000006168762,0.00001918904,0.0003971525,0.000004544801,0.002547682],"genre_scores_gemma":[0.9964234,0.001136521,0.0002806621,0.0002050878,0.000004777379,0.00001567802,0.0004383643,0.000003105896,0.001492374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02389491,"threshold_uncertainty_score":0.05996287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490209191006918,"score_gpt":0.2821926550881588,"score_spread":0.2672905631780896,"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."}}