{"id":"W4399706132","doi":"10.1007/s12080-024-00582-8","title":"Top-down and bottom-up coupling effects of subsidies on recipient ecosystems","year":2024,"lang":"en","type":"article","venue":"Theoretical Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Deutsche Forschungsgemeinschaft","keywords":"Subsidy; Ecosystem; Consumption (sociology); Trophic level; Trophic cascade; Ecosystem model; Biomass (ecology); Coupling (piping); Ecology; Environmental science; Natural resource economics; Economics; Biology; Food web; Engineering","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":[0.0008497058,0.0004593617,0.0004669066,0.0004743162,0.0006126264,0.001083346,0.0005351046,0.0006240957,0.004841895],"category_scores_gemma":[0.003170507,0.0002172838,0.0007023076,0.0002705067,0.001474752,0.001865802,0.001767422,0.0005540895,0.000157395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796332,"about_ca_system_score_gemma":0.0008566664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006177335,"about_ca_topic_score_gemma":0.004134924,"domain_scores_codex":[0.9996113,0.0001338679,0.00001380045,0.00006213182,0.0000484849,0.00013034],"domain_scores_gemma":[0.9990088,0.0004304668,0.0001901366,0.0001047218,0.0001117201,0.0001541573],"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":[0.0003197075,0.0002224925,0.06198262,0.0002150734,0.000213007,0.001222804,0.0005556738,0.4477517,0.03319189,0.4092653,0.001778942,0.04328071],"study_design_scores_gemma":[0.00005824188,0.0003107405,0.06062545,0.00007362737,0.00023625,0.0003296837,0.0007172627,0.7246143,0.00403296,0.205612,0.003323922,0.00006546867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453304,0.0001334102,0.03889204,0.0004600437,0.0000220768,0.00002561369,0.00005986851,0.00008295479,0.01499349],"genre_scores_gemma":[0.9984742,0.00003044065,0.000803543,0.00001922432,0.000002193117,0.000004579863,0.000003802398,0.000005006306,0.0006570005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006177335,"threshold_uncertainty_score":0.01619774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185343306745257,"score_gpt":0.2111144159915957,"score_spread":0.1892609829241431,"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."}}