{"id":"W2097144268","doi":"10.1098/rstb.2010.0167","title":"Dynamic energy budget theory and population ecology: lessons from <i>Daphnia</i>","year":2010,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Ecology; Daphnia; Population; Biology; Energy budget; Population model; Organism; Population ecology; Population cycle; Zooplankton; Predation; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007164587,0.0001398329,0.0002006388,0.000007429308,0.0006267162,0.00002258272,0.0004621088,0.0002426201,0.0007834459],"category_scores_gemma":[0.00005889954,0.00007853793,0.0001981847,0.0002283967,0.001771497,0.00007351604,0.00008017666,0.0003097592,0.000007241322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002912862,"about_ca_system_score_gemma":0.00001068202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074841,"about_ca_topic_score_gemma":0.0008489675,"domain_scores_codex":[0.9987325,0.0001853537,0.0002500773,0.0003761857,0.0002318607,0.0002239904],"domain_scores_gemma":[0.9990252,0.0005594571,0.0001203055,0.0001947287,0.000007099875,0.00009326819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009060214,0.0006960638,0.715291,0.00001847774,0.0001310732,0.000001024686,0.0005110104,0.01076569,0.01831294,0.2316212,0.0001207947,0.02244018],"study_design_scores_gemma":[0.0001614301,0.0001238158,0.4102232,0.000008265706,0.00003155911,0.000003366723,0.0000569607,0.06208869,0.000135946,0.5267481,0.0002268429,0.0001918352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853786,0.00003707667,0.007764531,0.00524112,0.0003173566,0.0001155242,0.0000942921,0.00003272203,0.001018757],"genre_scores_gemma":[0.9973162,0.00004130143,0.002142585,0.0003852245,0.00003638482,0.00001324704,0.000005905674,0.000004255795,0.00005489433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3050677,"threshold_uncertainty_score":0.8578183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320654296043052,"score_gpt":0.2436583434647361,"score_spread":0.2304518005043055,"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."}}