{"id":"W2935708879","doi":"10.3934/mbe.2019134","title":"The impacts of dispersal on the competition outcome of multi-patch competition models","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Biological dispersal; Competition (biology); Homogeneous; Competition model; Instability; Coexistence theory; Ecology; Statistical physics; Biology; Physics; Mechanics; Economics; Microeconomics","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":[0.001264235,0.0001256285,0.0004091439,0.00004089286,0.00007334132,0.00000763471,0.0001961044,0.00008912007,0.0002192805],"category_scores_gemma":[0.0009350087,0.00005569552,0.0001337129,0.0001498937,0.0005064002,0.0000496876,0.00005146703,0.0001969827,0.00005729492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632647,"about_ca_system_score_gemma":0.00001310401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005015066,"about_ca_topic_score_gemma":0.000001194299,"domain_scores_codex":[0.9988016,0.00004848197,0.0005003925,0.0001522106,0.0002361127,0.0002611791],"domain_scores_gemma":[0.997223,0.002265543,0.0001039705,0.0002764023,0.00004759149,0.00008351227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002419687,0.0001418468,0.0006477791,0.0001999071,0.00001654139,4.904724e-7,0.0001284697,0.001051734,0.003320762,0.9944407,0.000002577522,0.00002497991],"study_design_scores_gemma":[0.0002559258,0.0002613151,0.00114953,0.0003100319,0.000030745,0.000009987126,0.0001761998,0.9209176,0.002886313,0.07391617,0.00001082022,0.00007530033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564439,0.00003605479,0.1366685,0.002746921,0.0001196223,0.0004049759,0.00000542195,0.00002983381,0.003544759],"genre_scores_gemma":[0.9977354,0.00001338087,0.002018184,0.0001388821,0.00001177256,0.00001205697,0.000001230176,0.000006650301,0.00006242289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9205245,"threshold_uncertainty_score":0.2400967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409554374404049,"score_gpt":0.2842796281348358,"score_spread":0.2501840843907953,"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."}}