{"id":"W2981753148","doi":"10.1002/jcp.29294","title":"MicroRNAs facilitate skeletal muscle maintenance and metabolic suppression in hibernating brown bears","year":2019,"lang":"en","type":"article","venue":"Journal of Cellular Physiology","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Miljødirektoratet; Centre National de la Recherche Scientifique; Naturvårdsverket; Université de Strasbourg; Centre National d’Etudes Spatiales; Austrian Science Fund; Svenska Jägareförbundet","keywords":"Skeletal muscle; Downregulation and upregulation; Biology; Hibernation (computing); Endocrinology; Internal medicine; Muscle atrophy; microRNA; Ursus; Myogenesis; Atrophy; Cell biology; Gene; Medicine; Genetics","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":[0.0001360494,0.0001493674,0.0001702952,0.0001648331,0.0001677183,0.0001682509,0.00007810329,0.0001288131,0.0006998812],"category_scores_gemma":[0.0001361816,0.0001132951,0.0001865629,0.00005044555,0.00018431,0.0001053421,0.0001886369,0.0001613497,0.0001298435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216983,"about_ca_system_score_gemma":0.0001026287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003724789,"about_ca_topic_score_gemma":0.0009565741,"domain_scores_codex":[0.9999162,0.00001451196,0.000006774418,0.00003401563,0.00001443936,0.00001408392],"domain_scores_gemma":[0.9999144,0.0000135107,0.00003986418,0.000005884875,0.00001086411,0.00001552855],"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":[0.0001565877,0.000009811052,0.002677573,0.00002785677,0.000009051416,0.00003624308,0.0000625143,0.00003451752,0.9959205,0.00004693129,0.0000225819,0.0009957728],"study_design_scores_gemma":[0.00002947225,0.0008238489,0.4528027,0.00001670885,0.00008289666,0.0004549849,0.0003926222,0.001135579,0.5414981,0.0001473523,0.002602966,0.00001273688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986791,0.0003519461,0.0004474966,0.00001761818,0.000006731218,0.000004834108,0.00008515572,0.00001797599,0.0003890588],"genre_scores_gemma":[0.9973518,0.0002308037,0.0008227472,0.00004071096,0.00001017536,0.0000234135,0.0001947553,0.000009783739,0.001315835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006998812,"threshold_uncertainty_score":0.00234133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208462600938137,"score_gpt":0.1993627976240455,"score_spread":0.1872781716146641,"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."}}