{"id":"W1986107887","doi":"10.1007/s12190-010-0446-z","title":"A two-patch prey-predator model with food-gathering activity","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Mathematics and Computing","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; York University","funders":"","keywords":"Predator; Predation; Foraging; Biological dispersal; Ecology; Apex predator; Ecosystem; Optimal foraging theory; Stability (learning theory); Computer science; Biology; Population; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009228328,0.0001458059,0.0005839819,0.00004933042,0.00009853939,0.00001554294,0.0000895679,0.0001152182,0.00002537266],"category_scores_gemma":[0.0001137719,0.00008886953,0.00007275649,0.00005272634,0.00016497,0.00003809527,0.00007126422,0.0006372486,0.000002215698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007437286,"about_ca_system_score_gemma":0.00005294705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.533965e-7,"about_ca_topic_score_gemma":0.000001816272,"domain_scores_codex":[0.9990941,0.000007134464,0.0004098625,0.0001287933,0.0001424532,0.0002176186],"domain_scores_gemma":[0.9988416,0.0004024421,0.0003317527,0.0001552923,0.00008061717,0.0001883239],"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":[0.0004268043,0.0005130641,0.000161232,0.0004824232,0.0002341434,0.00001553711,0.001115934,0.000879363,0.01997172,0.9719281,0.00001738827,0.004254307],"study_design_scores_gemma":[0.001183881,0.0003675925,0.00007180942,0.000150736,0.0001539596,0.0005531089,0.0001570067,0.7284852,0.002891847,0.2658679,0.000005126501,0.0001119098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7058896,0.000007734037,0.2876467,0.0002122664,0.00002607539,0.0001078104,4.417876e-7,0.00001263537,0.006096698],"genre_scores_gemma":[0.7680855,0.000003836223,0.2316686,0.0001303259,0.00008816551,0.000001659248,1.312532e-7,0.00001223317,0.000009628649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7276058,"threshold_uncertainty_score":0.3623994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203118219296677,"score_gpt":0.2725265420662349,"score_spread":0.2522147201365673,"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."}}