{"id":"W1975810878","doi":"10.1890/09-0843.1","title":"Source and sink dynamics in meta‐ecosystems","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; James S. McDonnell Foundation","keywords":"Ecosystem; Energy flow; Sink (geography); Ecology; Herbivore; Nutrient; Biological dispersal; Environmental science; Detritus; Nutrient cycle; Biology; Geography; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001295537,0.0006521536,0.0007759383,0.001429025,0.001119537,0.003011108,0.001571169,0.001743314,0.003406394],"category_scores_gemma":[0.002854335,0.0004872081,0.001702484,0.001035137,0.002437006,0.00577748,0.002434457,0.001559968,0.0004217835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955725,"about_ca_system_score_gemma":0.001082751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847279,"about_ca_topic_score_gemma":0.00126532,"domain_scores_codex":[0.9994612,0.0001783173,0.0000301851,0.0001116929,0.0001445824,0.00007414837],"domain_scores_gemma":[0.9987639,0.0004844119,0.0002379338,0.0002184355,0.0001504147,0.0001449438],"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":[0.000008192575,0.00001231312,0.0009573362,0.00004746293,0.00004751641,0.0001307292,0.0002020874,0.03876995,0.001231013,0.9545908,0.0004239992,0.003578597],"study_design_scores_gemma":[0.00001129462,0.00001736507,0.0004061543,0.0000243836,0.00003578976,0.0001368069,0.0001048078,0.1707569,0.0003141605,0.8228188,0.005358707,0.00001480898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09941097,0.002547476,0.8480347,0.004923662,0.0002030763,0.00008227644,0.0002351833,0.0003357868,0.04422679],"genre_scores_gemma":[0.9181954,0.001532858,0.07223797,0.0004227528,0.0001523427,0.0001921774,0.00009857506,0.0001253913,0.007042441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003406394,"threshold_uncertainty_score":0.01418978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006617106207731487,"score_gpt":0.2156525700465033,"score_spread":0.2090354638387719,"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."}}