{"id":"W2778374195","doi":"","title":"Lotka-Volterra predator-prey models analytic and numerical methods.","year":2017,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predator; Predation; Applied mathematics; Mathematics; Mathematical economics; Computer science; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009007311,0.0008864639,0.0007734874,0.0009499282,0.0005433462,0.001076397,0.001592257,0.001272407,0.006130998],"category_scores_gemma":[0.002875016,0.0004257425,0.0009200822,0.0009738317,0.0008152634,0.001261452,0.001304786,0.00149446,0.001847304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129555,"about_ca_system_score_gemma":0.001153806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00289411,"about_ca_topic_score_gemma":0.002845451,"domain_scores_codex":[0.9995893,0.0001841637,0.00002340642,0.00003472489,0.0001404074,0.00002815131],"domain_scores_gemma":[0.9992748,0.000365267,0.00009418917,0.00009580776,0.0001411859,0.00002878525],"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":[0.00002071933,0.00007352493,0.0004802551,0.000378961,0.00004871636,0.0001213436,0.0001863781,0.358245,0.002707965,0.5949249,0.004926912,0.03788535],"study_design_scores_gemma":[0.000007003325,0.000009633246,0.00008288407,0.00004106915,0.000007005262,0.00004895162,0.00002360953,0.9172106,0.0003883186,0.0715341,0.0106317,0.00001512131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004747723,0.003089867,0.9686821,0.00044863,0.0002455935,0.0001292004,0.0002771185,0.0004888572,0.02189087],"genre_scores_gemma":[0.1678162,0.004772362,0.7964378,0.0004129256,0.0002922525,0.00124884,0.0005305153,0.0004859265,0.0280031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006130998,"threshold_uncertainty_score":0.0205102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087015899224358,"score_gpt":0.3047052754731492,"score_spread":0.2738351164809056,"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."}}