{"id":"W2344870688","doi":"10.1016/j.cbpa.2016.04.022","title":"Estimates of metabolic rate and major constituents of metabolic demand in fishes under field conditions: Methods, proxies, and new perspectives","year":2016,"lang":"en","type":"review","venue":"Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Mount Allison University; Université de Moncton; University of Manitoba","funders":"Canada Research Chairs; Natural Environment Research Council; Sight Research UK","keywords":"Metabolic rate; Field (mathematics); Fish <Actinopterygii>; Organism; Energy metabolism; Ecology; Biology; Ecosystem; Environmental resource management; Fishery; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000144879,0.0005741979,0.002337262,0.00006393636,0.00007962333,0.000008512466,0.0002356926,0.0003621301,0.0002253306],"category_scores_gemma":[0.0002718068,0.0003553351,0.0002039046,0.0002519755,0.003147456,0.00008470773,0.0003780613,0.0003549392,0.0000056333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000143539,"about_ca_system_score_gemma":0.00007699899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006764577,"about_ca_topic_score_gemma":0.000006621712,"domain_scores_codex":[0.9974264,0.0006993528,0.0006268502,0.0008753227,0.00007301938,0.0002990483],"domain_scores_gemma":[0.9977715,0.00125815,0.000520045,0.0002531904,0.00005406071,0.000143078],"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":[0.00009238678,0.0001678694,0.00002967955,0.000513202,0.0004504138,0.000001061859,0.0002916794,0.000002603038,0.9847847,0.007486852,0.0001278182,0.006051771],"study_design_scores_gemma":[0.001038051,0.0004241009,0.004935195,0.002594461,0.000776666,0.00002487139,0.000901379,0.00004731344,0.9083716,0.06393961,0.01594925,0.0009975017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2117677,0.7869412,0.0003176869,0.00004537953,0.00003327189,0.0004849361,0.0001804742,0.000008770005,0.0002206273],"genre_scores_gemma":[0.2906207,0.7067342,0.002106885,0.00007310256,0.00003684482,0.0001772762,0.0001581554,0.00001222839,0.00008064804],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08020693,"threshold_uncertainty_score":0.9998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05249063924219244,"score_gpt":0.3657306292664737,"score_spread":0.3132399900242812,"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."}}