{"id":"W1972169618","doi":"10.5194/bg-10-1877-2013","title":"Copepod community growth rates in relation to body size, temperature, and food availability in the East China Sea: a test of metabolic theory of ecology","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Copepod; Zooplankton; Ecology; Biology; Growth rate; Ecosystem; Marine ecosystem; Community structure; China sea; Environmental science; Oceanography; Crustacean; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077556,0.00006579422,0.0001318586,0.00002467583,0.0000867756,0.000009985201,0.0002996199,0.0000442081,0.0001152317],"category_scores_gemma":[0.001021224,0.00003493596,0.00001866913,0.0006637207,0.0007733293,0.0001378758,0.0001458741,0.0001183728,0.000008968777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008297034,"about_ca_system_score_gemma":0.000008719874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580963,"about_ca_topic_score_gemma":0.001182041,"domain_scores_codex":[0.9990821,0.0003375446,0.0001926381,0.0001439492,0.0001198823,0.0001238489],"domain_scores_gemma":[0.9990901,0.0006853733,0.00006000687,0.0001197196,0.00001104683,0.0000337481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003984626,0.0002525757,0.6595705,0.000003378617,6.599972e-7,3.125792e-8,0.0004938705,0.000002827133,0.3389903,0.0005722345,0.00001722667,0.00009238959],"study_design_scores_gemma":[0.0000784886,0.0002076219,0.9615239,0.000005020137,0.000001902863,4.399832e-7,0.0005318089,0.00004290826,0.01260396,0.02495236,0.00000680286,0.00004479938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985916,0.00004174705,7.095093e-7,0.000533352,0.00001119897,0.0002622926,0.00002662037,0.000003072091,0.0005294223],"genre_scores_gemma":[0.9996036,0.00001298551,0.0001991024,0.0001394631,0.00000296391,0.00002729371,0.000002546294,8.641096e-7,0.00001115911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3263863,"threshold_uncertainty_score":0.5413368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524582383477308,"score_gpt":0.2213839297154699,"score_spread":0.2061381058806969,"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."}}