{"id":"W2143785770","doi":"10.1007/s00285-013-0730-2","title":"Evolution of dispersal in open advective environments","year":2013,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":223,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa; National Science Foundation","keywords":"Biological dispersal; Advection; Population; Flow (mathematics); Boundary (topology); Statistical physics; Boundary value problem; Mechanics; Mathematics; Ecology; Physics; Biology; Mathematical analysis; Thermodynamics","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":[0.0007205389,0.0001679966,0.0002595905,0.0007533704,0.0004568025,0.001551692,0.0005788799,0.0009212059,0.001732119],"category_scores_gemma":[0.007122596,0.0002334399,0.0003243397,0.0004126728,0.001256115,0.001755309,0.001001501,0.0006677535,0.0001259697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006154331,"about_ca_system_score_gemma":0.0002447403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748869,"about_ca_topic_score_gemma":0.001772806,"domain_scores_codex":[0.999778,0.0001083765,0.00001131941,0.00003828687,0.0000276071,0.00003638005],"domain_scores_gemma":[0.9972345,0.00181801,0.0004441175,0.0001078586,0.0001295464,0.00026597],"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":[0.0003027257,0.0001468895,0.0763586,0.0001720517,0.0002043561,0.001435978,0.002092061,0.257311,0.006962814,0.6166393,0.00242517,0.03594913],"study_design_scores_gemma":[0.00009472863,0.0001058503,0.04647001,0.00005498574,0.00007138187,0.00118188,0.0009104739,0.5155423,0.0005299339,0.4329087,0.002060219,0.00006947728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695042,0.0004375358,0.02486027,0.001160012,0.00002352971,0.000006593972,0.00004806052,0.00002209645,0.003937608],"genre_scores_gemma":[0.9962768,0.0002003343,0.002144959,0.00003951947,0.00001157642,0.000004164082,0.00001992452,0.000004737208,0.001298015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001748869,"threshold_uncertainty_score":0.005794466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331926171985446,"score_gpt":0.311670891874174,"score_spread":0.2883516301543195,"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."}}