{"id":"W2335389641","doi":"10.5751/es-08345-210143","title":"Ecosystem service trade-offs and synergies misunderstood without landscape history","year":2016,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Ecosystem services; Environmental resource management; Ecosystem; Service (business); Ecology; Business; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002140631,0.0001211032,0.0001849963,0.000007264556,0.000175115,0.00001008988,0.00009750785,0.0001644132,0.0009574476],"category_scores_gemma":[0.000003303993,0.00007575955,0.00004147289,0.00003502371,0.00003861194,0.000195153,0.0001039624,0.00005953431,0.0001146331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053018,"about_ca_system_score_gemma":0.00001153783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007295724,"about_ca_topic_score_gemma":0.005933696,"domain_scores_codex":[0.9992278,0.00005227515,0.0001315764,0.0002838914,0.00007342875,0.0002310629],"domain_scores_gemma":[0.9996237,0.00009578513,0.00006025527,0.0001255674,0.000003065077,0.00009166053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001895841,0.00004634683,0.9733308,0.0001472345,0.00008555443,0.000004389253,0.005315065,0.00001073699,0.001465737,0.0001264798,0.01877625,0.0006724389],"study_design_scores_gemma":[0.001676557,0.0001326204,0.8985229,0.00004828629,0.00007036654,0.00007641916,0.002313177,0.001898076,0.0000945995,0.0003390941,0.09443385,0.000394031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939262,0.0003666296,0.000007676447,0.002249047,0.0002038081,0.00009675162,0.000006736907,0.0000492928,0.003093823],"genre_scores_gemma":[0.9979473,0.0003925931,0.00008224692,0.00119429,0.00005106447,0.00001388427,0.00000175097,0.000008943623,0.0003079708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0756576,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008902421455938163,"score_gpt":0.1868383185538039,"score_spread":0.1779358970978657,"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."}}