{"id":"W4247901685","doi":"10.5194/gmd-13-4663-2020","title":"Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 1: Implementation and model behaviour","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Bundesministerium für Bildung und Forschung; Deutsches Zentrum für Luft- und Raumfahrt; University of Victoria; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Plankton; Biogeochemistry; Phytoplankton; Environmental science; Biogeochemical cycle; Primary production; Ecosystem; Oceanography; Redfield ratio; Nutrient; Atmospheric sciences; Ecology; Biology; Physics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733161,0.001077216,0.001030798,0.0004290968,0.0004951271,0.001116024,0.003054953,0.001832386,0.006253254],"category_scores_gemma":[0.00338251,0.0007944502,0.0009196938,0.0004288261,0.0004681875,0.0009469281,0.001157417,0.001856327,0.001542594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012656,"about_ca_system_score_gemma":0.002013083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865306,"about_ca_topic_score_gemma":0.01719244,"domain_scores_codex":[0.9996852,0.0001144996,0.00002218193,0.00005597503,0.00007215032,0.00005014957],"domain_scores_gemma":[0.9992173,0.0003382244,0.00005826853,0.0001253244,0.0001967017,0.00006424991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008029362,0.00007267281,0.002058506,0.00008485996,0.00005175477,0.00006435189,0.00003689787,0.9843291,0.0006567477,0.003728727,0.003264117,0.005571965],"study_design_scores_gemma":[0.00006215142,0.00002156639,0.0003766176,0.00001830766,0.00001172143,0.000009988442,0.000006980834,0.9959086,0.0005482832,0.001073636,0.001949824,0.0000123625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5153562,0.001165051,0.3803121,0.001722369,0.0004683413,0.001067395,0.02061623,0.02100307,0.05828933],"genre_scores_gemma":[0.7870154,0.0004033322,0.188631,0.000521125,0.00007680732,0.001270949,0.01113044,0.002826484,0.008124482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865306,"threshold_uncertainty_score":0.05697256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03390833364533768,"score_gpt":0.2317430240501527,"score_spread":0.197834690404815,"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."}}