{"id":"W2778146026","doi":"10.3934/proc.2007.2007.667","title":"Positive steady state of a food chain system with diffusion","year":2007,"lang":"en","type":"article","venue":"Conference Publications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Steady state (chemistry); Diffusion; Predation; Mathematics; Fixed-point index; Flow (mathematics); Food chain; Index (typography); Biological system; Ecology; Thermodynamics; Biology; Computer science; Physics; Mathematical analysis; Chemistry","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":[0.000643409,0.0003322817,0.0004831849,0.0008634046,0.0006894348,0.001738864,0.0004181166,0.0008049971,0.002631675],"category_scores_gemma":[0.001597803,0.000271568,0.0005175662,0.0003952963,0.001027897,0.001260483,0.001020532,0.0005908881,0.0003293753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007594686,"about_ca_system_score_gemma":0.0006436804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545645,"about_ca_topic_score_gemma":0.0006831396,"domain_scores_codex":[0.9997265,0.00007386607,0.00001493365,0.00006307029,0.00006958372,0.00005208281],"domain_scores_gemma":[0.9993437,0.0003139421,0.0001055,0.00002661978,0.000135957,0.00007419963],"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":[0.0001778255,0.00008795525,0.004520022,0.0003000075,0.0001300145,0.001218232,0.0008819173,0.1606194,0.03753896,0.7766883,0.002534169,0.0153032],"study_design_scores_gemma":[0.0001047786,0.0002778637,0.002500767,0.00007658653,0.00009608403,0.0007450479,0.0002761985,0.7307291,0.006863899,0.2524279,0.005796187,0.0001055434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6009696,0.002157486,0.3609511,0.001414542,0.0001506086,0.00007799436,0.0002205026,0.0004005147,0.03365766],"genre_scores_gemma":[0.9792651,0.0005958477,0.01248385,0.00008478299,0.00006866014,0.00008601282,0.00009455908,0.00003117642,0.007290019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002631675,"threshold_uncertainty_score":0.008803785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617265180086229,"score_gpt":0.2866192614846327,"score_spread":0.2504466096837705,"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."}}