{"id":"W4395688923","doi":"10.1093/plankt/fbae016","title":"Zooplankton seasonal vertical migration in an optimality-based plankton ecosystem model","year":2024,"lang":"en","type":"article","venue":"Journal of Plankton Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Zooplankton; Plankton; Predation; Ecosystem; Ecology; Phytoplankton; Support vector machine; Food web; Diel vertical migration; Environmental science; Biology; Oceanography; Nutrient; Machine learning; Geology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004672545,0.0001775224,0.0003464337,0.0008227278,0.0001267406,0.0004699488,0.0004537733,0.0001713611,0.0008626161],"category_scores_gemma":[0.0001168417,0.0001353361,0.0001203773,0.0006308467,0.00005450573,0.0007259283,0.00002264222,0.001107226,0.0001585096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006443835,"about_ca_system_score_gemma":0.0009738648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108083,"about_ca_topic_score_gemma":0.02649619,"domain_scores_codex":[0.9962078,0.000628692,0.0007143266,0.0003184747,0.001547441,0.0005832395],"domain_scores_gemma":[0.9984655,0.0006099737,0.00006551278,0.0002085744,0.0002581475,0.0003922543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003190552,0.0003768884,0.5395641,0.001356068,0.000110791,0.004164856,0.001026249,0.3979745,0.001427379,0.001480724,0.01276068,0.03656717],"study_design_scores_gemma":[0.0004188775,0.0008934212,0.0173533,0.0003419685,0.00001118942,0.0001797314,0.000207367,0.9735897,0.0002464068,0.0004319937,0.006167232,0.0001588621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934638,0.0006757505,0.0006676597,0.0008885139,0.0003839007,0.0002045478,0.0002329104,0.00002753614,0.003455427],"genre_scores_gemma":[0.9987694,0.00004858747,0.0004329061,0.00004915145,0.0003886188,0.000002196815,0.0001537335,0.000009084756,0.0001463317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5756151,"threshold_uncertainty_score":0.9912677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280050603877822,"score_gpt":0.3289869384228493,"score_spread":0.2661864323840711,"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."}}