{"id":"W2035900336","doi":"10.1139/apnm-2013-0221","title":"Physiological responses and energy expenditure during competitive fencing","year":2013,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fencing; Anaerobic exercise; Energy expenditure; Athletes; Heart rate; Animal science; Lactic acid; Blood lactate; VO2 max; Energy metabolism; Physical therapy; Medicine; Biology; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001736009,0.0003642623,0.0003404412,0.0002499598,0.000211525,0.0003102577,0.0001427711,0.0003467233,0.001219025],"category_scores_gemma":[0.0006527198,0.0001314507,0.0001329418,0.0001354384,0.0003038232,0.0001190912,0.0003215171,0.0002300606,0.0001807687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226547,"about_ca_system_score_gemma":0.0001149517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594674,"about_ca_topic_score_gemma":0.001415754,"domain_scores_codex":[0.9998218,0.00004335944,0.0000083957,0.00004904173,0.00002921324,0.000048186],"domain_scores_gemma":[0.9998166,0.00003802512,0.00004707738,0.00001084896,0.00002595616,0.00006147612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008714694,0.0009381378,0.5421597,0.0002273388,0.0003103529,0.001172397,0.001933658,0.001752468,0.410889,0.00014136,0.0003003713,0.03146056],"study_design_scores_gemma":[0.00002051676,0.002289322,0.9882537,0.00001284733,0.00002030422,0.0004031534,0.000503093,0.0006955934,0.007493298,0.00006519497,0.0002332752,0.000009727553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995442,0.00005008195,0.0001655261,0.000004764534,0.000001435977,0.00000760343,0.00004168953,0.000002802924,0.0001818564],"genre_scores_gemma":[0.9993185,0.00005516018,0.0001651962,0.0000106308,0.000003622956,0.00002019534,0.0001474406,0.000001968066,0.0002775074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001594674,"threshold_uncertainty_score":0.00407809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008333217413231729,"score_gpt":0.2185121451693802,"score_spread":0.2101789277561484,"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."}}