{"id":"W3028146505","doi":"10.5206/mase/10644","title":"Selected Topics on Reaction-Diffusion-Advection Models from Spatial Ecology","year":2020,"lang":"en","type":"article","venue":"Mathematics in Applied Sciences and Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Competition (biology); Advection; Spatial ecology; Ecology; Diffusion; Population; Spatial heterogeneity; Reaction–diffusion system; Population ecology; Theoretical ecology; Statistical physics; Geography; Computer science; Biology; Mathematics; Physics; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002333237,0.0001035367,0.0002950729,0.00005030831,0.0000655378,0.000007707035,0.00005379809,0.0001291872,0.00005013475],"category_scores_gemma":[0.0002488482,0.00007829412,0.00002160044,0.0001671866,0.00009694228,0.00002268167,0.00003316589,0.0002252151,0.00001322944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001662947,"about_ca_system_score_gemma":0.00001348395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008358707,"about_ca_topic_score_gemma":0.000004324897,"domain_scores_codex":[0.9992577,0.000008889975,0.0002388736,0.0002213098,0.00008629669,0.0001869186],"domain_scores_gemma":[0.9994376,0.0003500695,0.00003399828,0.00006672974,0.000009800819,0.0001017542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004978974,0.0001413672,0.0002662949,0.0001424234,0.00001733744,0.000006281836,0.001075924,0.007766325,0.00821371,0.9810714,0.00002647755,0.001222686],"study_design_scores_gemma":[0.0002934708,0.0001350051,0.001248415,0.00003789385,0.00001436593,0.000005491613,0.00008553413,0.8941298,0.0002786596,0.1036574,0.00003485215,0.00007913636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8633873,0.00001433001,0.1203192,0.002890112,0.0000776838,0.0002118313,0.000001367939,0.00007463944,0.0130235],"genre_scores_gemma":[0.9866292,0.0000215716,0.01262422,0.0005901836,0.00009274361,0.00001965795,0.000002466072,0.000006113821,0.00001383893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8863634,"threshold_uncertainty_score":0.3192742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116933124396398,"score_gpt":0.2484164577847397,"score_spread":0.2172471265407757,"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."}}