{"id":"W4408930003","doi":"10.3390/jfmk10020113","title":"Skeletal Muscle Composition and the Effects of Exercise and/or Prebiotic Fiber in Preventing Diet Related Morbidities","year":2025,"lang":"en","type":"article","venue":"Journal of Functional Morphology and Kinesiology","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Canada Research Chairs; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Prebiotic; Skeletal muscle; Composition (language); Medicine; Internal medicine; Food science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003245037,0.000081041,0.0004455464,0.0001532479,0.00005857541,0.000002396744,0.00002125306,0.0000991888,0.00002323639],"category_scores_gemma":[0.0002815069,0.0000451672,0.00004245109,0.00008233533,0.0004924801,0.00003712623,0.00004799076,0.0001964987,2.897123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005629521,"about_ca_system_score_gemma":0.00003094528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007534984,"about_ca_topic_score_gemma":0.000001978183,"domain_scores_codex":[0.9993477,0.0001188987,0.0002970869,0.00009384595,0.00005033069,0.00009215579],"domain_scores_gemma":[0.9989837,0.0007061423,0.0001646446,0.00004287505,0.00007966285,0.00002299983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09410121,0.002156866,0.5125666,0.008265988,0.003403365,0.001135986,0.004617259,0.0001371337,0.2596017,0.02362088,0.01191971,0.07847331],"study_design_scores_gemma":[0.005446024,0.0007086389,0.9900166,0.0004429615,0.0003968184,0.0002950454,0.0001254233,0.00002135835,0.000174465,0.002027607,0.000307227,0.00003779031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856241,0.01193304,0.00001325344,0.001591117,0.0005305296,0.0001536567,9.010015e-7,0.000002745809,0.0001506747],"genre_scores_gemma":[0.9943992,0.004568888,0.0001060765,0.0001918874,0.00005243369,0.000005599109,0.000002392612,0.000003047648,0.0006704725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.47745,"threshold_uncertainty_score":0.1841865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00865127831469996,"score_gpt":0.24655604995374,"score_spread":0.23790477163904,"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."}}