{"id":"W3167109855","doi":"10.3934/math.2021518","title":"Correlated random walks in heterogeneous landscapes: Derivation, homogenization, and invasion fronts","year":2021,"lang":"en","type":"article","venue":"AIMS Mathematics","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa","funders":"","keywords":"Random walk; Homogenization (climate); Mathematics; Jump process; Jump; Statistical physics; Mathematical analysis; Statistics; Physics; Ecology","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":[0.0001247655,0.0001025063,0.0001404022,0.00003686227,0.00005308211,0.00003499758,0.00007467096,0.0001197735,0.00003608592],"category_scores_gemma":[0.0002780056,0.00009623972,0.00003236072,0.0001178784,0.00002559991,0.000004200505,0.0001037317,0.00005960215,0.000008569828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009862658,"about_ca_system_score_gemma":0.00005170581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003926124,"about_ca_topic_score_gemma":0.0002068117,"domain_scores_codex":[0.9992713,0.00004416981,0.0002308065,0.0002001534,0.0001133012,0.0001402434],"domain_scores_gemma":[0.9995331,0.00002569401,0.00005423194,0.0002221417,0.0001049259,0.00005996917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002274321,0.001676772,0.05233644,0.000447556,0.0002290639,0.0002189201,0.00521273,0.002955074,0.9216883,0.001919422,0.002853755,0.0102346],"study_design_scores_gemma":[0.03241547,0.0008559272,0.02510886,0.0008785629,0.000227246,0.001544696,0.005669885,0.4382913,0.445906,0.02269253,0.02358038,0.002829125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837344,0.0003725987,0.0149761,0.00008285179,0.00005826609,0.0001332964,0.000008306216,0.00001167208,0.0006224943],"genre_scores_gemma":[0.9947244,0.0007227238,0.003194163,0.0001967933,0.00002345071,0.00001029742,0.0003489793,0.0000208565,0.0007583412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4757822,"threshold_uncertainty_score":0.3924542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006796671113142134,"score_gpt":0.2237497522754824,"score_spread":0.2169530811623403,"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."}}