{"id":"W2987710012","doi":"10.1016/j.celrep.2020.107980","title":"Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States","year":2020,"lang":"en","type":"article","venue":"Cell Reports","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University; University of Calgary; McMaster University","funders":"FP7 Health; Medical Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Transcriptome; Skeletal muscle; Gene; Proteome; Untranslated region; Phenotype; Computational biology; Cell biology; Genetics; Gene expression; Messenger RNA; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114601,0.0001581176,0.0001790136,0.000261928,0.0001382107,0.0002268826,0.00008373844,0.0001463948,0.001970737],"category_scores_gemma":[0.0002018117,0.0001084139,0.0001648056,0.0002367465,0.0001280701,0.0001457618,0.000207301,0.0002049942,0.000324408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717927,"about_ca_system_score_gemma":0.0001404316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003576338,"about_ca_topic_score_gemma":0.000491083,"domain_scores_codex":[0.9999077,0.000008517072,0.000004163954,0.00003826009,0.00002321685,0.00001809548],"domain_scores_gemma":[0.9999229,0.00001962587,0.00002697641,0.000006180184,0.00001123065,0.00001316971],"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":[0.0002348902,0.00002424594,0.00696995,0.00005429427,0.00001244324,0.00009071064,0.00005202064,0.0002425629,0.9848822,0.0002616205,0.0001607461,0.007014307],"study_design_scores_gemma":[0.00002550613,0.0003752742,0.7239407,0.00001575691,0.0000656101,0.0006218659,0.0002277631,0.004092847,0.2669895,0.0007826234,0.002843041,0.00001959596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936551,0.0006623573,0.002247835,0.0000846414,0.00001310295,0.0000246588,0.001612441,0.00006508076,0.001634712],"genre_scores_gemma":[0.9938897,0.0003941048,0.00183256,0.000068257,0.000007934379,0.00004444402,0.002064837,0.00001173492,0.001686367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001970737,"threshold_uncertainty_score":0.006592751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293258821899973,"score_gpt":0.2406594562891567,"score_spread":0.227726868070157,"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."}}