{"id":"W4322764014","doi":"10.1007/s00033-023-01965-3","title":"Spreading speeds determinacy for a cooperative Lotka–Volterra system with stacked fronts","year":2023,"lang":"de","type":"article","venue":"Zeitschrift für angewandte Mathematik und Physik","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Determinacy; Wave speed; Traveling wave; Extinction (optical mineralogy); Nonlinear system; State (computer science); Population; Statistical physics; Selection (genetic algorithm); Control theory (sociology); Diffusion; Computer science; Mathematics; Physics; Mathematical analysis; Algorithm; Optics; Artificial intelligence","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":[0.003411655,0.001693388,0.003851119,0.003052437,0.002681565,0.004341339,0.003396921,0.006396146,0.005437011],"category_scores_gemma":[0.01788175,0.001974673,0.002315074,0.001737172,0.004448986,0.003628154,0.003365813,0.003492613,0.001086193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347481,"about_ca_system_score_gemma":0.001891895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008106223,"about_ca_topic_score_gemma":0.003115225,"domain_scores_codex":[0.9981133,0.0004879392,0.00009030832,0.0004630518,0.0003598414,0.0004855784],"domain_scores_gemma":[0.9807042,0.01299051,0.002024755,0.0008807795,0.002186936,0.001212928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006050397,0.0002096668,0.003362077,0.0003379405,0.0003482661,0.001109824,0.0007905249,0.6273788,0.01529658,0.3383493,0.002587175,0.009624831],"study_design_scores_gemma":[0.00003584776,0.00004350861,0.0004175017,0.00001399935,0.00005062924,0.0001503008,0.0000523175,0.9681824,0.0004159595,0.03041714,0.000164425,0.00005594268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.444073,0.00104084,0.533452,0.002922599,0.0002566603,0.0002091356,0.0004659738,0.0005204288,0.01705933],"genre_scores_gemma":[0.9786551,0.0003482508,0.0101861,0.0001831101,0.0001003286,0.0001362005,0.0001259649,0.000063484,0.01020145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008106223,"threshold_uncertainty_score":0.01818866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375284270335979,"score_gpt":0.3304694977761469,"score_spread":0.292941070742549,"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."}}