{"id":"W4386865400","doi":"10.1016/j.mbs.2023.109075","title":"Variation in environmental stochasticity dramatically affects viability and extinction time in a predator–prey system with high prey group cohesion","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Allee effect; Population; Predation; Extinction (optical mineralogy); Predator; Environmental noise; Ecology; Noise (video); Environmental science; Biology; Physics; Demography; Computer science","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":[0.0006946232,0.0002164336,0.0004684569,0.0005178452,0.0004877039,0.0009245754,0.0004266715,0.0006702259,0.0005974783],"category_scores_gemma":[0.004051301,0.0002847929,0.0003476738,0.0002128078,0.001129834,0.0006281796,0.000746077,0.000658828,0.0000498817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006045673,"about_ca_system_score_gemma":0.0003422398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470274,"about_ca_topic_score_gemma":0.001748573,"domain_scores_codex":[0.9998085,0.00006807315,0.00001011296,0.00004080653,0.00001845159,0.00005399742],"domain_scores_gemma":[0.9959323,0.002729913,0.0006321833,0.0001580562,0.00009018096,0.0004573417],"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":[0.00173328,0.0006838645,0.198347,0.0001860505,0.0007973679,0.003087036,0.0006789984,0.5869311,0.168244,0.02802367,0.001125711,0.01016196],"study_design_scores_gemma":[0.00007239691,0.000353886,0.1078829,0.000007569205,0.0001443669,0.000393597,0.0003613759,0.8714775,0.003801927,0.0152739,0.0001466582,0.00008393825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990346,0.00001079684,0.0007571341,0.00005252576,0.000002436875,8.724035e-7,0.000007752369,0.00000934745,0.0001244707],"genre_scores_gemma":[0.9998347,0.00000645105,0.0001095631,0.000005775155,0.000001485239,7.435887e-7,0.000005883048,0.000001977634,0.00003352023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470274,"threshold_uncertainty_score":0.004386485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003621565565848608,"score_gpt":0.1831300169262047,"score_spread":0.1795084513603561,"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."}}