{"id":"W2910896324","doi":"10.1016/j.cbd.2019.01.006","title":"Global metabolic responses of the lenok (Brachymystax lenok) to thermal stress","year":2019,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Chinese Academy of Fishery Sciences; Natural Science Foundation of Heilongjiang Province; China Scholarship Council; National Natural Science Foundation of China; Agriculture Research System of China; Chinese Academy of Sciences; National Science Foundation","keywords":"Biology; Transcriptome; Metabolomics; Metabolism; Lipid metabolism; Biochemistry; Bioinformatics; Gene expression; Gene","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":[0.00004586619,0.0003478565,0.0003403737,0.0003035444,0.000374353,0.0003597644,0.0002286322,0.0002769075,0.001007332],"category_scores_gemma":[0.00006940267,0.0002309134,0.0002158179,0.0002960748,0.0003124287,0.0002152486,0.0004955636,0.0004827183,0.0002361543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671644,"about_ca_system_score_gemma":0.0001943028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005496915,"about_ca_topic_score_gemma":0.01042754,"domain_scores_codex":[0.9999577,0.000003271166,0.000002795091,0.00001758226,0.000006824149,0.00001189925],"domain_scores_gemma":[0.9999319,0.000007627968,0.0000208434,0.000007014653,0.000009306368,0.00002330944],"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":[0.0003230785,0.00001042854,0.005793568,0.0000333422,0.00001718817,0.00003708572,0.00007758033,0.00008388491,0.9925291,0.00003476861,0.00001734667,0.001042617],"study_design_scores_gemma":[0.00003181018,0.0004228835,0.920475,0.00001515153,0.00007855733,0.0004010745,0.0005800915,0.0006094493,0.07540646,0.00008826359,0.001865945,0.00002525172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991353,0.0001952039,0.00009821302,0.00001012626,0.000001792108,0.000003069436,0.0002252685,0.000004243589,0.0003268255],"genre_scores_gemma":[0.9969463,0.0001769361,0.0003373925,0.00005221997,0.000002539486,0.00001695855,0.000984478,0.00001561851,0.001467671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005496915,"threshold_uncertainty_score":0.01092982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284899147610877,"score_gpt":0.25078586370404,"score_spread":0.2279368722279312,"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."}}