{"id":"W4415312128","doi":"10.1016/j.cbd.2025.101654","title":"Proteomic responses to progressive dehydration and rehydration in Xenopus laevis","year":2025,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Hebei Normal University of Science and Technology","keywords":"Xenopus; Dehydration; Skeletal muscle; Mitochondrion; Proteomics; Bioenergetics; Metabolic pathway; Kidney; Heat shock protein","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":[0.0001892405,0.0004149377,0.0003815772,0.0003775531,0.0002972299,0.0004921695,0.000251834,0.0002817999,0.001936606],"category_scores_gemma":[0.0001606918,0.0002848176,0.0004334858,0.0001999848,0.0003361733,0.0004357543,0.000281335,0.0005708206,0.0004266876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007644913,"about_ca_system_score_gemma":0.0002425975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004697931,"about_ca_topic_score_gemma":0.006301581,"domain_scores_codex":[0.9999069,0.000009167659,0.000009666315,0.00003046886,0.00001610952,0.00002765351],"domain_scores_gemma":[0.9998533,0.00002137729,0.00005408478,0.00001017498,0.00002839183,0.00003274947],"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":[0.0002581941,0.00001340334,0.0003205549,0.00005378715,0.00001012381,0.00004940035,0.00003870838,0.00003867222,0.9986553,0.00005620409,0.000034959,0.0004706939],"study_design_scores_gemma":[0.00003519787,0.0005128873,0.1364304,0.00002259672,0.00005836009,0.0004738196,0.0003456501,0.0006937518,0.8582627,0.0001221913,0.003013746,0.00002877408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99386,0.002057106,0.0008725027,0.000120591,0.00003529005,0.00002704291,0.001186102,0.00007264545,0.001768595],"genre_scores_gemma":[0.9853281,0.001280847,0.001345112,0.000275535,0.00002144004,0.00007610401,0.00229619,0.00007323857,0.009303275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004697931,"threshold_uncertainty_score":0.009341121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239060677032049,"score_gpt":0.2780753005561569,"score_spread":0.2556846937858364,"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."}}