{"id":"W4394768247","doi":"10.14814/phy2.15995","title":"Discordant gene expression in subcutaneous adipose and skeletal muscle tissues in response to exercise training","year":2024,"lang":"en","type":"article","venue":"Physiological Reports","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Hjärt-Lungfonden","keywords":"Skeletal muscle; Adipose tissue; Medicine; Overweight; Endocrinology; AMPK; Internal medicine; Diabetes mellitus; Downregulation and upregulation; Cohort; Bioinformatics; Obesity; Biology; Gene; Genetics; Protein kinase A","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":[0.0001895641,0.0001675318,0.0002641681,0.0004374232,0.0002130191,0.0002987071,0.000112022,0.0001771455,0.001220578],"category_scores_gemma":[0.0003902071,0.0001792893,0.0002400926,0.0003861381,0.0002806008,0.0001550177,0.0004015208,0.0002423298,0.0002042524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008845513,"about_ca_system_score_gemma":0.000106094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005504861,"about_ca_topic_score_gemma":0.001165341,"domain_scores_codex":[0.9997422,0.00003787355,0.00001562615,0.0001058684,0.00004934961,0.00004909322],"domain_scores_gemma":[0.9996809,0.00007334942,0.00009116322,0.00003215471,0.00004906503,0.00007335195],"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":[0.001405477,0.00005428441,0.1149509,0.000120028,0.00008057089,0.0001961037,0.0004531167,0.00009565183,0.876542,0.00004870741,0.00006262773,0.005990525],"study_design_scores_gemma":[0.00001806295,0.0002965747,0.9810246,0.00001107938,0.00004012998,0.0003096479,0.0003383814,0.0002566964,0.01739402,0.0000647742,0.0002413922,0.000004648006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988475,0.0002036723,0.0003952662,0.00001447414,0.000004826493,0.000005920421,0.0001524545,0.000005645185,0.0003701564],"genre_scores_gemma":[0.9980938,0.0001235646,0.0005713138,0.00004430002,0.000008735987,0.00002996037,0.0003694773,0.000007391784,0.0007514617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220578,"threshold_uncertainty_score":0.004083276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307354989385883,"score_gpt":0.3143327426197707,"score_spread":0.2812591927259119,"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."}}