{"id":"W4396591677","doi":"10.1137/23m1581613","title":"Stoichiometry-Dependent Fear Effect in a Food Chain Model","year":2024,"lang":"en","type":"article","venue":"SIAM Journal on Applied Mathematics","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Stoichiometry; Chain (unit); Food chain; Risk model; Mathematics; Environmental science; Statistical physics; Econometrics; Materials science; Physics; Chemistry; Biology; Ecology","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":[0.0005897172,0.0008032703,0.0006112413,0.0005526683,0.0005561668,0.001097334,0.00140478,0.001372218,0.005628671],"category_scores_gemma":[0.001478227,0.0003718969,0.000831449,0.0004450839,0.001219129,0.001402534,0.001395492,0.0007903429,0.0004080713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321393,"about_ca_system_score_gemma":0.0008434613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007133762,"about_ca_topic_score_gemma":0.004341729,"domain_scores_codex":[0.9997734,0.00005825678,0.00001153244,0.00005440724,0.00005055358,0.00005182622],"domain_scores_gemma":[0.9995377,0.0002066041,0.0001090133,0.00002587506,0.00005199477,0.0000688413],"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":[0.0001105508,0.00009587246,0.00278486,0.0001190891,0.00007112498,0.000525205,0.0001705004,0.876608,0.007147132,0.1073717,0.0006144326,0.004381664],"study_design_scores_gemma":[0.00003877522,0.00007778905,0.0009374901,0.000009412337,0.0000355565,0.00008778548,0.0000449815,0.9599167,0.0002588267,0.03802865,0.000545417,0.000018706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.623583,0.0006531015,0.3260679,0.001415866,0.00009240388,0.00019079,0.000702304,0.0002218258,0.0470727],"genre_scores_gemma":[0.9799811,0.0003435842,0.007905709,0.0001177571,0.00002003404,0.0001357483,0.0001121707,0.00002340078,0.01136061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007133762,"threshold_uncertainty_score":0.01882982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804480359865981,"score_gpt":0.2985100533219668,"score_spread":0.280465249723307,"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."}}