{"id":"W2069325094","doi":"10.1016/j.ecolmodel.2007.08.016","title":"Numerical analysis and parameter estimation technique for insect population redistribution models","year":2008,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Redistribution (election); Population; Finite difference method; Biological dispersal; Finite difference; Mathematics; Significant difference; Statistics; Biological system; Applied mathematics; Mathematical analysis; Biology; Demography","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":[0.001107925,0.0004149926,0.0005091388,0.0005013871,0.0004192498,0.0005038139,0.0007304306,0.000742769,0.002248702],"category_scores_gemma":[0.006509328,0.0004159013,0.0006449383,0.0004332741,0.0005195883,0.0008403035,0.0007903132,0.00134002,0.0004389112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192648,"about_ca_system_score_gemma":0.0005492977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933225,"about_ca_topic_score_gemma":0.001589108,"domain_scores_codex":[0.9997904,0.0001164397,0.00001508016,0.00002387549,0.00004016369,0.00001407672],"domain_scores_gemma":[0.9980417,0.001454416,0.0001389747,0.0001756169,0.000159067,0.00003016353],"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":[0.00004059631,0.00003512638,0.000683626,0.0000484421,0.00002556522,0.00006129427,0.00006845681,0.9171042,0.005439637,0.03092743,0.0006072944,0.04495839],"study_design_scores_gemma":[0.000002070359,0.000003041988,0.00004603376,0.000002097748,0.000002532898,0.000007425661,0.000001689834,0.9959989,0.0002433408,0.00347955,0.0002115173,0.000001778038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004694713,0.00006458356,0.994446,0.00005188524,0.000009819116,0.00001036165,0.00001821819,0.0000893361,0.0006150626],"genre_scores_gemma":[0.5211425,0.0004511594,0.472861,0.00008487873,0.00007741582,0.0003782903,0.0002025875,0.0002008194,0.004601439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002933225,"threshold_uncertainty_score":0.007522643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662573969439436,"score_gpt":0.2401200422053094,"score_spread":0.183494302510915,"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."}}