{"id":"W2156541632","doi":"10.1242/jeb.110221","title":"Extracellular glucose can fuel metabolism in red blood cells from high glycemic Atlantic cod ( <i>Gadus morhua</i> ) but not low glycemic short-horned sculpin ( <i>Myoxocephalus scorpius</i> )","year":2014,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Gadus; Sculpin; Atlantic cod; Glycemic; Extracellular; Gadidae; Fishery; Ghrelin; Biology; Zoology; Fish <Actinopterygii>; Endocrinology; Cell biology; Diabetes mellitus","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":[0.00009029907,0.0002256643,0.0002182774,0.000124179,0.0001507293,0.0004985176,0.0001972922,0.000219638,0.000636009],"category_scores_gemma":[0.0001804263,0.0001313564,0.0001706232,0.0001222198,0.0002953117,0.0002139386,0.0003864064,0.0003508106,0.0001313589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003173526,"about_ca_system_score_gemma":0.0001776291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697529,"about_ca_topic_score_gemma":0.003923547,"domain_scores_codex":[0.9999017,0.00001315225,0.000009946339,0.00002716162,0.00001902302,0.0000290156],"domain_scores_gemma":[0.9998342,0.00003121908,0.00005767384,0.00001616967,0.00001867107,0.00004200329],"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":[0.00127001,0.00003568839,0.01876855,0.00008453942,0.00004689947,0.000144137,0.00006708915,0.00009859135,0.976529,0.00007892786,0.00008830519,0.002788168],"study_design_scores_gemma":[0.00008690888,0.00143131,0.5690598,0.0000329628,0.0002069517,0.0008676582,0.0007567419,0.002348142,0.4232987,0.0002443063,0.001635622,0.0000308989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992909,0.0002677742,0.0001261238,0.00002577428,0.000004805322,0.000001516232,0.00006385556,0.000003185804,0.0002159444],"genre_scores_gemma":[0.998628,0.0002252199,0.0003886032,0.00006712384,0.000004452533,0.000005512052,0.0003400612,0.000006316194,0.0003347156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002697529,"threshold_uncertainty_score":0.005363643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153118747388452,"score_gpt":0.2183158417276594,"score_spread":0.2067846542537749,"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."}}