{"id":"W2013970954","doi":"10.1152/ajpregu.00353.2014","title":"Cold-acclimation leads to differential regulation of the steelhead trout (<i>Oncorhynchus mykiss</i>) coronary microcirculation","year":2015,"lang":"en","type":"article","venue":"American Journal of Physiology-Regulatory, Integrative and Comparative Physiology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Eye Institute; Memorial University of Newfoundland; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fundação para a Ciência e a Tecnologia; Foundation for the National Institutes of Health","keywords":"Rainbow trout; Trout; Acclimatization; Fishery; Biology; Fish <Actinopterygii>; Ecology","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":[0.0001163355,0.0003163329,0.0002720534,0.0001395426,0.0001884061,0.0002977415,0.0001712943,0.0002442409,0.001579352],"category_scores_gemma":[0.0001477597,0.000222194,0.0003206732,0.0000766618,0.0003406233,0.000212651,0.0003330869,0.0005592086,0.0002873391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121529,"about_ca_system_score_gemma":0.0002349897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00416514,"about_ca_topic_score_gemma":0.007457841,"domain_scores_codex":[0.999882,0.00001167974,0.00001031703,0.00003938769,0.00001925213,0.00003720881],"domain_scores_gemma":[0.9998729,0.00001001052,0.00004537079,0.00001252247,0.00002027045,0.00003889498],"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":[0.0001395704,0.000007639806,0.0006188397,0.0000109959,0.000005160446,0.00002356712,0.00003085632,0.00001264133,0.9989464,0.00001073478,0.00002432078,0.000169415],"study_design_scores_gemma":[0.00004085468,0.001687696,0.4423296,0.00001631469,0.0000710888,0.0002431553,0.0003722887,0.0005998944,0.5531405,0.0000481149,0.001409815,0.00004065413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990521,0.0001651895,0.0001869264,0.00003640586,0.00001471596,0.0000092858,0.0001177621,0.0000188863,0.0003987128],"genre_scores_gemma":[0.997475,0.0001663737,0.0003628728,0.0001216947,0.00001207831,0.00004329592,0.0003955074,0.0000178279,0.001405282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00416514,"threshold_uncertainty_score":0.008281827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960223831322816,"score_gpt":0.2664696157179041,"score_spread":0.2368673774046759,"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."}}