{"id":"W4313479778","doi":"10.1016/j.ecolmodel.2022.110249","title":"Dynamics of a stochastic nutrient–plankton model with regime switching","year":2022,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Plankton; Zooplankton; Phytoplankton; Environmental science; Biomass (ecology); Extinction (optical mineralogy); Ecology; Biology; Bloom; Nutrient","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":[0.0007796698,0.0001636048,0.0006268329,0.00007322052,0.0002676119,0.000002917404,0.0001384488,0.0001397979,0.0006333903],"category_scores_gemma":[0.0001485296,0.0001103807,0.0001200606,0.0001436811,0.0001836057,0.0000319106,0.0001461638,0.0006763067,0.000007903125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009300387,"about_ca_system_score_gemma":0.0000661826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003893772,"about_ca_topic_score_gemma":0.000001749172,"domain_scores_codex":[0.9985318,0.0001118345,0.0004341967,0.0003377237,0.0002055125,0.0003789175],"domain_scores_gemma":[0.9987654,0.0006694458,0.0001430489,0.000219059,0.00005041491,0.0001526165],"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":[0.0004794187,0.0003754302,0.00008514964,0.00003303145,0.00003255894,0.00001874637,0.00007711153,0.5305687,0.0000137684,0.4682767,0.00001032915,0.00002903599],"study_design_scores_gemma":[0.0005046551,0.0007394413,0.00001545795,0.00001939778,0.00007200087,0.00007240634,0.00007160041,0.6403507,0.000006529167,0.3580616,0.000002359787,0.00008383211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3559872,0.00002587297,0.6397913,0.001486022,0.00002343771,0.0002302636,0.000007464495,0.00004276255,0.002405703],"genre_scores_gemma":[0.9848831,0.000004672396,0.01402016,0.0006330915,0.00002022318,0.00009163764,0.00002380702,0.00001456624,0.0003087306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6288959,"threshold_uncertainty_score":0.6935179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452116211737376,"score_gpt":0.2630904504449456,"score_spread":0.2285692883275718,"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."}}