{"id":"W4237146731","doi":"10.1007/978-3-030-83454-8_2","title":"Meta-Ecosystems","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes on mathematical modelling in the life sciences","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Ecosystem; Metapopulation; Metacommunity; Ecology; Population; Total human ecosystem; Environmental resource management; Environmental science; Ecosystem services; Computer science; Ecosystem health; Biology; Biological dispersal","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":[0.0003660217,0.0006365172,0.00058232,0.001082182,0.0007530969,0.004111596,0.00103996,0.001175619,0.027559],"category_scores_gemma":[0.000844401,0.0003794634,0.0007443588,0.0008827472,0.001322471,0.003757848,0.002122781,0.00151786,0.006352057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009561963,"about_ca_system_score_gemma":0.0005931618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006394397,"about_ca_topic_score_gemma":0.001102876,"domain_scores_codex":[0.9997427,0.00006179344,0.00001408459,0.00008622988,0.00005864367,0.00003658955],"domain_scores_gemma":[0.999631,0.00006137018,0.00003313724,0.0001490052,0.00005197235,0.00007343649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001960323,0.00002061879,0.0004667641,0.0001728294,0.0000654425,0.0001553986,0.0001676544,0.004172994,0.001941886,0.9391809,0.0132023,0.04043363],"study_design_scores_gemma":[0.000007339775,0.00001574547,0.0004646654,0.00009046906,0.00002487285,0.000324306,0.0001384682,0.004557277,0.000828778,0.751434,0.2420989,0.0000151006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03074235,0.01490668,0.2131499,0.00578887,0.001903032,0.0001273516,0.002057803,0.001760176,0.7295638],"genre_scores_gemma":[0.5663159,0.01477775,0.1021614,0.00208235,0.00110586,0.0003475569,0.003724692,0.0009319254,0.3085525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.027559,"threshold_uncertainty_score":0.09219408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1843797378467437,"score_gpt":0.2559991529025382,"score_spread":0.07161941505579444,"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."}}