{"id":"W3197082495","doi":"10.1111/sapm.12443","title":"Spatiotemporal dynamics of a diffusive consumer‐resource model with explicit spatial memory","year":2021,"lang":"en","type":"article","venue":"Studies in Applied Mathematics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Diffusion; Taxis; Resource (disambiguation); Stability (learning theory); Statistical physics; Homogeneous; Biological system; Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004017806,0.0002174999,0.001124121,0.00006087691,0.00005862703,0.000002160084,0.00008287158,0.000168824,0.0000844434],"category_scores_gemma":[0.0005613667,0.0001516402,0.00007996464,0.0001518007,0.0007690935,0.00001257416,0.0001602406,0.0002851158,0.00001025252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000592353,"about_ca_system_score_gemma":0.00008712433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003326397,"about_ca_topic_score_gemma":0.00007237726,"domain_scores_codex":[0.9985703,0.00003032114,0.0006419707,0.0002781085,0.0001839936,0.0002952573],"domain_scores_gemma":[0.9983361,0.000909871,0.0001921904,0.0003623615,0.0001177218,0.00008172438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002243088,0.0008392401,0.0001628692,0.001846757,0.0003576345,0.00007066054,0.003330074,0.0005629341,0.0001602959,0.9914557,0.000132903,0.0008566734],"study_design_scores_gemma":[0.002323896,0.0001653268,0.00004901827,0.0005063417,0.0003272368,0.00009049475,0.009897371,0.4391532,0.001852754,0.5453715,0.00001358498,0.000249306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4209919,0.0003967522,0.4499851,0.001932052,0.00005803429,0.000959684,0.00002735175,0.00007396088,0.1255751],"genre_scores_gemma":[0.9317256,0.0001115868,0.06723844,0.0003900694,0.00002281323,0.0001017133,0.00002097764,0.00002277577,0.0003660133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5107337,"threshold_uncertainty_score":0.6183707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447569903060714,"score_gpt":0.3135991349133878,"score_spread":0.2688421446073164,"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."}}