{"id":"W2158957198","doi":"10.1111/j.2006.0030-1299.14940.x","title":"A tale of two cycles – distinguishing quasi‐cycles and limit cycles in finite predator–prey populations","year":2006,"lang":"en","type":"article","venue":"Oikos","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Limit cycle; Limit (mathematics); Population cycle; Population; Statistical physics; Predation; Series (stratigraphy); Mathematics; Predator; Econometrics; Ecology; Applied mathematics; Biology; Physics; Mathematical analysis","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":[0.001359313,0.0002338057,0.0003895221,0.0009041159,0.0004765482,0.001450722,0.0005359772,0.0008912066,0.001811861],"category_scores_gemma":[0.009291827,0.0002849368,0.000452569,0.000479012,0.003494839,0.00244203,0.001038065,0.0009893827,0.000193584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512012,"about_ca_system_score_gemma":0.0004638956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571016,"about_ca_topic_score_gemma":0.0009998883,"domain_scores_codex":[0.9993218,0.000257056,0.00004295348,0.0002006761,0.0001337428,0.00004368795],"domain_scores_gemma":[0.9956216,0.002145614,0.0006813025,0.00108414,0.0002601424,0.0002072435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001949759,0.00005491606,0.01746165,0.0002005351,0.0001063307,0.0003497289,0.001335633,0.03865464,0.008535678,0.8532257,0.002550377,0.07732979],"study_design_scores_gemma":[0.00001995942,0.00004598151,0.009553524,0.00004438481,0.00002119595,0.000426433,0.0002222267,0.1784617,0.001704582,0.8040847,0.0053562,0.00005913171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3526389,0.001245915,0.6284707,0.003270336,0.0001671438,0.00007982639,0.0002509709,0.0003832972,0.01349294],"genre_scores_gemma":[0.9315286,0.0002442256,0.0654844,0.0003822298,0.00006510464,0.00008528992,0.0000826771,0.00004588807,0.002081584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001811861,"threshold_uncertainty_score":0.007188797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128072100280682,"score_gpt":0.3220588221825403,"score_spread":0.2807781011797335,"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."}}