{"id":"W2790455749","doi":"10.1111/ele.12928","title":"Quantifying effects of biodiversity on ecosystem functioning across times and places","year":2018,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 European Research Council; Agence Nationale de la Recherche; National Science Foundation","keywords":"Biodiversity; Ecosystem; Ecosystem services; Ecology; Ecosystem health; Ecosystem diversity; Beta diversity; Global biodiversity; Geography; Environmental resource management; Environmental science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002461872,0.00007097518,0.0001817248,0.00006348799,0.0001572663,0.00001272777,0.0000566292,0.00005938925,0.0001787112],"category_scores_gemma":[0.00002799925,0.00008510298,0.00003281412,0.00003137071,0.0001152735,0.0001035628,0.00004391607,0.00004980552,0.0009109435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007752108,"about_ca_system_score_gemma":0.000001532351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004207967,"about_ca_topic_score_gemma":0.00009095931,"domain_scores_codex":[0.9994235,0.00001588635,0.0001872472,0.0002194994,0.00001059563,0.000143297],"domain_scores_gemma":[0.9995896,0.0001060489,0.0001828987,0.00009517657,0.000002856158,0.00002347238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001325616,0.00001832614,0.9970701,0.00002641753,0.00004598452,9.520619e-7,0.0004184497,0.00005040268,0.0002870826,0.0008947654,0.00107497,0.00009928285],"study_design_scores_gemma":[0.0005101325,0.0001857962,0.9965602,0.000009263336,0.000006276679,0.000001686266,0.0001009069,0.0004114737,0.001347833,0.00008953676,0.000681254,0.00009571387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978193,0.00005872044,0.0001584839,0.000603125,0.0006349329,0.0001015201,0.00002522644,0.0000124881,0.0005862206],"genre_scores_gemma":[0.9989671,0.00002008611,0.0001121491,0.0007871439,0.00005079487,0.000003802551,0.000005434533,0.000004269517,0.00004920132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001147836,"threshold_uncertainty_score":0.999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05301025492571401,"score_gpt":0.2135385502770226,"score_spread":0.1605282953513086,"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."}}