{"id":"W2741234187","doi":"10.1242/bio.025452","title":"Standard metabolic rate predicts growth trajectory of juvenile crucian carp (<i>Carassius auratus</i>) under changing food availability","year":2017,"lang":"en","type":"article","venue":"Biology Open","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Environment Research Council; Chongqing Municipal Education Commission; National Natural Science Foundation of China; Sight Research UK; Chongqing Normal University; Natural Science Foundation of Chongqing; National Science Foundation","keywords":"Biology; Crucian carp; Juvenile; Context (archaeology); Carassius auratus; Intraspecific competition; Animal science; Fish <Actinopterygii>; Toxicology; Zoology; Ecology; Fishery","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":[0.0001548937,0.0002400889,0.0001596444,0.0002836672,0.0001383856,0.0002836832,0.0001085242,0.0002286507,0.0007090366],"category_scores_gemma":[0.0004461382,0.0001363576,0.0001482035,0.0001591685,0.0001704705,0.0001327512,0.0002207545,0.0002224212,0.0002004243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226486,"about_ca_system_score_gemma":0.00009967003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00485756,"about_ca_topic_score_gemma":0.008161145,"domain_scores_codex":[0.9999201,0.00001205455,0.000007280114,0.0000303027,0.00001306013,0.00001714849],"domain_scores_gemma":[0.9996006,0.00004068805,0.0002079816,0.00004236419,0.00003567136,0.00007279943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001362251,0.00009460672,0.8106086,0.00002720532,0.0001261152,0.00009283183,0.0001454954,0.001495826,0.1802762,0.00003306115,0.0001534162,0.005584342],"study_design_scores_gemma":[0.00000171799,0.00006994494,0.9986452,7.68033e-7,0.000006820394,0.00002909417,0.00002574763,0.000432443,0.0007521261,0.000008846235,0.00002472834,0.000002533488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998013,0.00001558925,0.00005212174,0.000003472429,5.274941e-7,7.147137e-7,0.00004642294,0.000002349644,0.00007743937],"genre_scores_gemma":[0.9996881,0.00001092659,0.00005753303,0.000003804596,7.974091e-7,0.000003359969,0.0001206908,0.000002215148,0.0001124874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00485756,"threshold_uncertainty_score":0.009658575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977636642276895,"score_gpt":0.2739588033758525,"score_spread":0.2341824369530836,"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."}}