{"id":"W2945600406","doi":"10.1016/j.jde.2019.05.019","title":"Spatial-temporal dynamics of a Lotka-Volterra competition model with nonlocal dispersal under shifting environment","year":2019,"lang":"en","type":"article","venue":"Journal of Differential Equations","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Foshan University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Persistence (discontinuity); Extinction (optical mineralogy); Biological dispersal; Competition (biology); Dynamics (music); Mathematics; Work (physics); Statistical physics; Competition model; Constant (computer programming); Ecology; Computer science; Physics; Biology; Geology; Population; Economics; Demography","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":[0.001293973,0.0007107049,0.001663329,0.001184757,0.001267935,0.002032091,0.002692773,0.0034059,0.004304138],"category_scores_gemma":[0.00436146,0.0008117809,0.001215478,0.0008920863,0.002272566,0.002542278,0.001574149,0.001729401,0.0004705386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686663,"about_ca_system_score_gemma":0.00157492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094484,"about_ca_topic_score_gemma":0.01310198,"domain_scores_codex":[0.9995766,0.0001318789,0.00001913775,0.00009236719,0.00005662411,0.0001232979],"domain_scores_gemma":[0.9965963,0.001599346,0.0007049426,0.0001009784,0.0004007404,0.0005977342],"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":[0.0002144981,0.0001890421,0.00779254,0.0001350778,0.0001781618,0.001130388,0.0004022353,0.8058576,0.004475812,0.1746732,0.002259299,0.00269213],"study_design_scores_gemma":[0.00001824907,0.00002145022,0.0007514281,0.000004888719,0.00002109305,0.00008975295,0.00005092064,0.9921597,0.00004528639,0.00670628,0.000111895,0.00001908816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85387,0.0009555683,0.1274827,0.004201755,0.0001722287,0.00006579206,0.0005142079,0.0002059752,0.01253172],"genre_scores_gemma":[0.987765,0.0002558046,0.002739271,0.0001247037,0.0000485078,0.00003549397,0.0001117377,0.00003251859,0.008886994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02094484,"threshold_uncertainty_score":0.04164582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154412290441883,"score_gpt":0.2597171702193158,"score_spread":0.238173047314897,"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."}}