{"id":"W1972617150","doi":"10.1080/17513750802716112","title":"Pattern formation in prey-taxis systems","year":2009,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Taxis; Allee effect; Predation; Predator; Logistic function; Functional response; Biology; Biological system; Mathematics; Econometrics; Ecology; Applied mathematics; Statistics; Population; Demography","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":[0.0005377928,0.0003977311,0.0006718804,0.0004254457,0.0005398286,0.001192728,0.000761733,0.001102113,0.002221632],"category_scores_gemma":[0.002896164,0.0003765826,0.000540678,0.0002750873,0.001095975,0.001184557,0.001299861,0.0006416148,0.0003428585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079055,"about_ca_system_score_gemma":0.0006481638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005256632,"about_ca_topic_score_gemma":0.00311093,"domain_scores_codex":[0.9997237,0.00008085067,0.0000153393,0.00007371372,0.00005524806,0.00005096893],"domain_scores_gemma":[0.9988348,0.0004871783,0.0003004824,0.00007689609,0.0001676763,0.0001329127],"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":[0.0002460361,0.0001129815,0.01466232,0.0002687368,0.0001655222,0.001880322,0.000781729,0.6874432,0.04109997,0.2368846,0.002047872,0.01440662],"study_design_scores_gemma":[0.00006733144,0.00007890677,0.002303771,0.00001703297,0.00002386848,0.0004178155,0.0002078758,0.9351336,0.002643826,0.05778902,0.001289672,0.00002725518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8413759,0.0006162119,0.1388053,0.001473445,0.0000603478,0.00008941702,0.0001902924,0.000203931,0.0171851],"genre_scores_gemma":[0.9891312,0.0001623663,0.004662756,0.00006500832,0.00001030277,0.00003902823,0.00004822557,0.00001692355,0.005864198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005256632,"threshold_uncertainty_score":0.01045203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03527280087726781,"score_gpt":0.2956584792741808,"score_spread":0.260385678396913,"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."}}