{"id":"W2589176069","doi":"10.1016/j.jmaa.2017.02.034","title":"A reaction–diffusion model of harmful algae and zooplankton in an ecosystem","year":2017,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Taiwan University; Chang Gung Memorial Hospital; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; National Center for Theoretical Sciences","keywords":"Attractor; Chemostat; Ecosystem; Zooplankton; Steady state (chemistry); Algae; Cyanobacteria; Mathematics; Invariant (physics); Eigenvalues and eigenvectors; Algal bloom; Applied mathematics; Ecology; Environmental science; Nutrient; Mathematical analysis; Physics; Chemistry; Biology; Mathematical physics; Phytoplankton","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002396201,0.001958446,0.002292205,0.001454814,0.00119635,0.003764997,0.004303632,0.006741173,0.00378121],"category_scores_gemma":[0.006361873,0.001281772,0.00187176,0.001326305,0.002708153,0.003928678,0.002563433,0.002299642,0.000657658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002369907,"about_ca_system_score_gemma":0.001852807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821663,"about_ca_topic_score_gemma":0.006021158,"domain_scores_codex":[0.9987863,0.0004611879,0.00007943115,0.0003083709,0.0001648225,0.0001999334],"domain_scores_gemma":[0.996241,0.002018145,0.0006926297,0.0001196885,0.0004427236,0.0004858747],"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":[0.0002071266,0.0001665322,0.003365399,0.0002150982,0.0002444932,0.00131828,0.0003356502,0.8103704,0.004804523,0.1746284,0.001400704,0.002943479],"study_design_scores_gemma":[0.00008630465,0.00006364271,0.000419721,0.00001396114,0.00008522445,0.0001165384,0.00006701649,0.9771155,0.0001693353,0.02124993,0.0005622358,0.00005051949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4142244,0.003563953,0.5402719,0.01015411,0.0008265253,0.0002274694,0.001123874,0.000441793,0.02916597],"genre_scores_gemma":[0.9523044,0.001696343,0.01481574,0.0004130432,0.0002659502,0.0002116675,0.0003086001,0.00006141762,0.02992272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01821663,"threshold_uncertainty_score":0.03622121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652491405852619,"score_gpt":0.3287983819788868,"score_spread":0.2922734679203606,"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."}}