{"id":"W4292236792","doi":"10.7717/peerj.13920","title":"Incorporating nonlinearity with generalized functional responses to simulate multiple predator effects","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Science Foundation","keywords":"Predation; Nonlinear system; Predator; Functional response; Econometrics; Ecology; Biological system; Computer science; Biology; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002125572,0.00009452373,0.00009805774,0.0000222391,0.0003859735,0.00002787174,0.0001198639,0.00001715294,0.026688],"category_scores_gemma":[0.0001282229,0.00008481936,0.00003168019,0.0002727185,0.00004731799,0.00007082362,0.0003278166,0.0001017205,0.0004374514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015893,"about_ca_system_score_gemma":0.00001377195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002461027,"about_ca_topic_score_gemma":0.0003180417,"domain_scores_codex":[0.9989597,0.00009429461,0.0001025159,0.0002467158,0.0004127602,0.0001839714],"domain_scores_gemma":[0.999562,0.0001066764,0.00004759172,0.0001646024,0.00001085576,0.0001083021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00205274,0.0004585533,0.8518391,0.0000205444,0.00002956757,0.00006258027,0.0004936004,0.04411981,0.07058021,0.0003288588,0.02827325,0.001741194],"study_design_scores_gemma":[0.001748926,0.0004005331,0.8864481,0.000003688249,0.00001581409,0.0000192122,0.0004462838,0.0108191,0.004416591,0.00005250556,0.09532456,0.0003047286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968359,0.000009390448,0.0004152209,0.0006793606,0.000141778,0.0002559423,0.0002145439,0.00007513566,0.001372692],"genre_scores_gemma":[0.996039,4.907427e-7,0.000779916,0.0009584161,0.00003384268,0.0001181103,0.0001784389,0.00001093597,0.001880827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06705131,"threshold_uncertainty_score":0.9742017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787649454862183,"score_gpt":0.2487641016896168,"score_spread":0.2208876071409949,"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."}}