{"id":"W4410767848","doi":"10.1002/mma.11010","title":"Nonlocal Cooperative Behavior, Psychological Effects, and Collective Decision‐Making: An Exemplification With Predator–Prey Models","year":2025,"lang":"en","type":"article","venue":"Mathematical Methods in the Applied Sciences","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Shared Hierarchical Academic Research Computing Network; Alliance de recherche numérique du Canada","keywords":"Exemplification; Mathematics; Predation; Predator; Mathematical economics; Statistical physics; Applied mathematics; Econometrics; Mathematical optimization; Ecology; Epistemology; Physics; Biology","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":[0.0004585764,0.0003858,0.0004786364,0.000361225,0.0006901043,0.0008946046,0.0007171866,0.001090777,0.001204176],"category_scores_gemma":[0.0009213432,0.0001476294,0.0005962063,0.0003057189,0.001307786,0.0007516279,0.001381612,0.0007768958,0.00008310276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004738491,"about_ca_system_score_gemma":0.0002765336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714167,"about_ca_topic_score_gemma":0.001527515,"domain_scores_codex":[0.9997788,0.0001216004,0.000007790476,0.00002591951,0.0000377807,0.00002810289],"domain_scores_gemma":[0.9993945,0.0003042287,0.0001019272,0.00005125392,0.00005993196,0.00008805841],"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":[0.000122695,0.0003591414,0.008787795,0.0001696868,0.0001963828,0.002781154,0.001571234,0.7070498,0.01491818,0.2564257,0.001393603,0.006224513],"study_design_scores_gemma":[0.00003406721,0.00008553998,0.001457172,0.00001412764,0.00002377349,0.0001315286,0.0003449077,0.9414427,0.0005986561,0.05504517,0.0007951626,0.0000273047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096622,0.0004995866,0.0716909,0.0008896017,0.00004706679,0.00003738853,0.00003546675,0.00004299116,0.01709476],"genre_scores_gemma":[0.9955984,0.00009840517,0.002973426,0.00002493341,0.00001398955,0.00001863405,0.000006621784,0.000003783287,0.0012617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001714167,"threshold_uncertainty_score":0.00402832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07423940523309355,"score_gpt":0.4656041353665606,"score_spread":0.3913647301334671,"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."}}