{"id":"W1997708780","doi":"10.1016/j.pmr.2005.08.018","title":"Understanding Skeletal Muscle Adaptation to Exercise Training in Humans: Contributions from Microarray Studies","year":2005,"lang":"en","type":"review","venue":"Physical Medicine and Rehabilitation Clinics of North America","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; Children's Hospital of Eastern Ontario","funders":"","keywords":"Medicine; Adaptation (eye); Skeletal muscle; Physical medicine and rehabilitation; Training (meteorology); Physical therapy; Neuroscience; Internal medicine; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630025,0.001074268,0.002881185,0.001756162,0.0002377388,0.001361445,0.001114377,0.001172247,0.001368762],"category_scores_gemma":[0.001859249,0.0004537714,0.0008295979,0.003134045,0.0005688954,0.001638079,0.000797722,0.001381444,0.0008217914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000614868,"about_ca_system_score_gemma":0.001318247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206601,"about_ca_topic_score_gemma":0.004264748,"domain_scores_codex":[0.9996158,0.00005149615,0.00004192641,0.0001448049,0.0001198696,0.00002607959],"domain_scores_gemma":[0.9988713,0.0006654735,0.0001421633,0.00005564333,0.0002273896,0.00003794274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001701976,0.00006917305,0.002272312,0.01188801,0.0004632034,0.0002181174,0.0001186882,0.0007182539,0.0206691,0.001232128,0.007378834,0.9548022],"study_design_scores_gemma":[0.00007161257,0.0003844704,0.05722814,0.007471108,0.002342071,0.002934349,0.0007016399,0.0009834261,0.01285083,0.008652524,0.9061938,0.0001860156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009269342,0.9956369,0.001891812,0.0004927779,0.0001583361,0.00001039391,0.0001225326,0.00001680746,0.0007434951],"genre_scores_gemma":[0.002314757,0.9947717,0.001778075,0.0003870524,0.0002059772,0.00001753553,0.0001511259,0.000002934777,0.0003707689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002881185,"threshold_uncertainty_score":0.008620501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1912065049204673,"score_gpt":0.4410634742509769,"score_spread":0.2498569693305096,"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."}}