{"id":"W2010748838","doi":"10.1016/j.exger.2003.10.006","title":"Age-related differences in metabolic adaptations following resistance training in women","year":2003,"lang":"en","type":"article","venue":"Experimental Gerontology","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke","funders":"","keywords":"Basal metabolic rate; Resting energy expenditure; Internal medicine; Medicine; Endocrinology; Insulin resistance; Fat mass; Obesity; Composition (language); Insulin sensitivity; Fat free mass; Energy expenditure; Lean body mass; Animal science; Body weight; Biology","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":[0.0001975587,0.0001343878,0.0002602291,0.00009522472,0.00004479187,0.00001067047,0.0001009282,0.0001357676,0.00005729833],"category_scores_gemma":[0.0000531156,0.0001439598,0.00005628944,0.0001376841,0.00006604107,0.000008874008,0.00001964521,0.00008704298,0.000003282476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003013755,"about_ca_system_score_gemma":0.00004328857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004121255,"about_ca_topic_score_gemma":0.0005615532,"domain_scores_codex":[0.9987614,0.0002267071,0.0002737833,0.0003164973,0.00007341237,0.0003482051],"domain_scores_gemma":[0.9997279,0.00001334177,0.00004857329,0.0001496863,0.000006374729,0.00005410342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001947589,0.0003155521,0.005307914,0.000005697796,0.00005383394,0.00007019365,0.01388624,0.000008339702,0.9669492,0.01093543,0.00008020318,0.002192584],"study_design_scores_gemma":[0.01642078,0.000610479,0.3438022,0.0001181953,0.00002994838,0.00004575619,0.05969411,0.00004187568,0.4934196,0.00598858,0.07824212,0.001586357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721555,0.02179913,0.00005716997,0.00003457609,0.0002938403,0.0001482464,0.000002510572,0.000008923928,0.005500074],"genre_scores_gemma":[0.9981796,0.0001926995,0.0008776259,0.00009736636,0.00002591005,0.0001831345,0.00002400081,0.00001260846,0.0004070542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4735296,"threshold_uncertainty_score":0.5870512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368081188434544,"score_gpt":0.2858530565180821,"score_spread":0.2521722446337367,"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."}}