{"id":"W3204739678","doi":"10.1007/978-3-030-83454-8_3","title":"Nonlinear Meta-Ecosystem Dynamics","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes on mathematical modelling in the life sciences","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Ecosystem; Nonlinear system; Trophic level; Ecology; Alternative stable state; Ecosystem model; Stability (learning theory); Spatial heterogeneity; Environmental science; Computer science; Physics; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001973049,0.0005799175,0.0009434345,0.0001174499,0.0003661333,0.0001975164,0.001569869,0.0004043324,0.001364663],"category_scores_gemma":[0.0002436741,0.0003034123,0.0004548825,0.0002852622,0.0004992827,0.00009155474,0.0002300749,0.0008507554,0.0006750617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554563,"about_ca_system_score_gemma":0.00006614476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002913204,"about_ca_topic_score_gemma":0.0005381792,"domain_scores_codex":[0.9960542,0.0001344343,0.0007903473,0.000968652,0.00151875,0.0005336352],"domain_scores_gemma":[0.9969424,0.001789405,0.0003382644,0.0007663085,0.0000212439,0.0001423929],"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":[0.000004186135,0.00006977707,0.000007499302,0.0001173024,0.00007705891,0.00003391111,0.0002548102,0.845692,0.000002701816,0.153405,0.00001793465,0.0003178061],"study_design_scores_gemma":[0.00004554018,0.0000785915,3.486825e-7,0.0002511649,0.0001950794,0.00002717385,0.0000247059,0.7390431,0.000007564458,0.2593821,0.0006362032,0.0003085016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001912118,0.001716313,0.4506227,0.00389422,0.0003637911,0.001143291,0.0001015425,0.0000854313,0.5401606],"genre_scores_gemma":[0.8167508,0.001118577,0.1424566,0.006381067,0.0007419756,0.0001909062,0.00007418765,0.0002876461,0.03199819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8148387,"threshold_uncertainty_score":0.9999418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387060796044939,"score_gpt":0.2498739544157559,"score_spread":0.2060033464553065,"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."}}