{"id":"W4385778709","doi":"10.14814/phy2.15793","title":"Stanniocalcin‐2 inhibits skeletal muscle growth and is upregulated in functional overload‐induced hypertrophy","year":2023,"lang":"en","type":"article","venue":"Physiological Reports","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; FP7 People: Marie-Curie Actions; National Institutes of Health; Danmarks Frie Forskningsfond; Michael Smith Health Research BC; UK Research and Innovation; Chief Scientist Office; St. Paul's Foundation; Wellcome Trust","keywords":"Muscle hypertrophy; Downregulation and upregulation; Endocrinology; Plantaris muscle; Internal medicine; Skeletal muscle; Myokine; Growth factor; Myocyte; Biology; Matrix metalloproteinase; Chemistry; Medicine; Receptor; Soleus muscle; Biochemistry","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":[0.0001135693,0.0001886718,0.0002392188,0.00003232515,0.0001135881,0.00001665507,0.00008014351,0.0001462326,0.0008624619],"category_scores_gemma":[0.0002278191,0.0001264227,0.00008902706,0.0006693712,0.0002278123,0.0001327991,0.0003540601,0.0002039359,0.0001928061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004160625,"about_ca_system_score_gemma":0.000007643386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187498,"about_ca_topic_score_gemma":0.000002645666,"domain_scores_codex":[0.9982551,0.0000497015,0.000340805,0.0006659147,0.0003045201,0.0003839557],"domain_scores_gemma":[0.9994729,0.00009140722,0.00009013749,0.0001708906,0.00001133282,0.000163393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001405808,0.000131552,0.002387979,0.00000451449,0.000004665702,0.00007841383,0.00002476933,0.000111884,0.9942717,0.00006868236,0.001400071,0.001501707],"study_design_scores_gemma":[0.0001551347,0.0001471619,0.9437611,0.000009321948,0.000004152242,0.0000124072,0.00001677495,0.0006820049,0.02468425,0.03009147,0.0002286564,0.0002075309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977567,0.00001584422,0.000005650025,0.0004038875,0.00006840999,0.000165337,0.000006663222,0.0001364382,0.001441044],"genre_scores_gemma":[0.9990218,0.00002858085,0.00007597306,0.0005811516,0.00005002387,0.00003844402,0.00005629051,0.000007801887,0.0001399579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9695874,"threshold_uncertainty_score":0.9443352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292931521185292,"score_gpt":0.2357698377623804,"score_spread":0.2028405225505275,"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."}}