{"id":"W2128019414","doi":"10.1007/s10867-013-9327-7","title":"Dynamical behaviour of a two-predator model with prey refuge","year":2013,"lang":"en","type":"article","venue":"Journal of Biological Physics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"University Grants Commission","keywords":"Predation; Constant (computer programming); Functional response; Stability (learning theory); Applied mathematics; Predator; Competition (biology); Mathematics; Range (aeronautics); Biological system; Control theory (sociology); Statistical physics; Ecology; Computer science; Biology; Physics; Control (management); Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430488,0.0006388826,0.00144418,0.000902577,0.001064052,0.002235793,0.00190082,0.003477381,0.005666269],"category_scores_gemma":[0.001985583,0.0006358997,0.001148752,0.0005564974,0.001524436,0.002000211,0.001602569,0.001062365,0.0005230578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000977844,"about_ca_system_score_gemma":0.0007771793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245867,"about_ca_topic_score_gemma":0.005775245,"domain_scores_codex":[0.9997866,0.00007018534,0.00001130497,0.00004809166,0.00002991044,0.00005397925],"domain_scores_gemma":[0.9989298,0.0004642644,0.0001579036,0.00004887379,0.0001164262,0.000282686],"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":[0.0003438946,0.0002209607,0.006625703,0.0001775711,0.0002358244,0.002179848,0.0004319883,0.8606277,0.009962711,0.1133496,0.00233938,0.003504843],"study_design_scores_gemma":[0.00004386995,0.00003536161,0.0006393604,0.000006583747,0.00002482648,0.0001236808,0.00005371077,0.9925357,0.00009082724,0.006243683,0.0001800966,0.00002223965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696214,0.0007821409,0.0913011,0.003034217,0.0001723059,0.00009326934,0.0006672996,0.0002743331,0.03405394],"genre_scores_gemma":[0.9862775,0.0001825893,0.002660967,0.00009810241,0.00004054551,0.0000316816,0.0001144418,0.00002338944,0.01057068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245867,"threshold_uncertainty_score":0.02477235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237243467683601,"score_gpt":0.308481442091591,"score_spread":0.266109007414755,"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."}}