{"id":"W2890618507","doi":"10.1139/apnm-2018-0412","title":"Resting metabolic rate in muscular physique athletes: validity of existing methods and development of new prediction equations","year":2018,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rocky Mountain Research Station","keywords":"Athletes; Physical medicine and rehabilitation; Psychology; Physical therapy; Medicine","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":[0.01774861,0.0009159541,0.000657885,0.001200261,0.0002232373,0.000878483,0.0009412406,0.0006392566,0.0003746927],"category_scores_gemma":[0.04508645,0.0004048204,0.0006043147,0.000759406,0.0004165237,0.0007979148,0.0007779544,0.000952768,0.0002997652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104438,"about_ca_system_score_gemma":0.0006158368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003692609,"about_ca_topic_score_gemma":0.00427058,"domain_scores_codex":[0.9936717,0.003590925,0.0006962252,0.0007294836,0.00120685,0.0001047728],"domain_scores_gemma":[0.9747291,0.01845277,0.002520896,0.001271252,0.002837794,0.0001882663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005310688,0.000162626,0.9061392,0.000183747,0.0004760154,0.00008280135,0.0003362809,0.007381011,0.001507089,0.0002719935,0.0004551057,0.08247308],"study_design_scores_gemma":[0.0001236714,0.0007550947,0.7837735,0.0001763695,0.0003601735,0.0003979901,0.0002881096,0.2085406,0.003173116,0.0005587701,0.001791534,0.0000609768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8714235,0.002341281,0.1222505,0.000305576,0.0001230145,0.0002705844,0.0007972476,0.000366913,0.002121458],"genre_scores_gemma":[0.9267927,0.0008804054,0.07057229,0.0001075205,0.00006684839,0.000284028,0.0006666288,0.00005170858,0.000577947],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01774861,"threshold_uncertainty_score":0.09386474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05914495816509925,"score_gpt":0.3313392046780818,"score_spread":0.2721942465129826,"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."}}