{"id":"W4306862547","doi":"10.1007/s00285-022-01824-1","title":"Detecting minimum energy states and multi-stability in nonlocal advection–diffusion models for interacting species","year":2022,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Gruppo Nazionale per la Fisica Matematica; Engineering and Physical Sciences Research Council; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Mathematics; Statistical physics; Bounded function; Context (archaeology); Advection; Stability (learning theory); Physics; Mathematical analysis; Computer science; Biology","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":[0.0009460223,0.0005428763,0.0005771189,0.00113125,0.000707246,0.001347477,0.001035449,0.001191245,0.0009112934],"category_scores_gemma":[0.003963846,0.0004070255,0.0009286163,0.0004191639,0.002072235,0.001627575,0.002287786,0.0009300528,0.0001169561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056133,"about_ca_system_score_gemma":0.0004557011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895686,"about_ca_topic_score_gemma":0.001419157,"domain_scores_codex":[0.9996985,0.0001198494,0.00001780272,0.00006200287,0.00006311919,0.00003868638],"domain_scores_gemma":[0.9983491,0.000950844,0.0003922076,0.0001152668,0.00009071485,0.0001019174],"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":[0.00007140095,0.00006598988,0.005151145,0.0001064838,0.00009160076,0.0002849648,0.0006396849,0.686079,0.01296744,0.2870285,0.0004907788,0.007023009],"study_design_scores_gemma":[0.000004527573,0.00001041551,0.0003811996,0.000006039139,0.000004831311,0.0000263188,0.0000382891,0.9198299,0.0004550878,0.07910048,0.0001323137,0.00001051162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4120789,0.0004787983,0.5819327,0.0006713053,0.00002286968,0.00004051853,0.00006404543,0.0001109812,0.004599859],"genre_scores_gemma":[0.9796724,0.0001370735,0.01859381,0.0000484064,0.00001115223,0.00006094658,0.00003680104,0.00002638377,0.001412954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001895686,"threshold_uncertainty_score":0.007662833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06113236514768352,"score_gpt":0.3221790501624177,"score_spread":0.2610466850147342,"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."}}