{"id":"W2883352600","doi":"10.1002/sd.1848","title":"Using multi‐criteria decision analysis for assessing sustainability of agricultural systems","year":2018,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Centre for International Governance Innovation; Balsillie School of International Affairs; McGill University Health Centre; University of Waterloo; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sustainability; Multiple-criteria decision analysis; Weighting; Environmental Sustainability Index; Agriculture; Environmental economics; Composite indicator; Business; Sustainability organizations; Environmental resource management; Environmental science; Operations research; Engineering; Economics; Geography","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":[0.01123027,0.001240761,0.001166718,0.005821348,0.001331532,0.003829625,0.001057835,0.001083432,0.002129469],"category_scores_gemma":[0.01659145,0.0006036457,0.00129685,0.003321463,0.001285923,0.001734289,0.001982738,0.001271719,0.0001468729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004537242,"about_ca_system_score_gemma":0.003575178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009073047,"about_ca_topic_score_gemma":0.01317912,"domain_scores_codex":[0.9882978,0.009181363,0.0004356924,0.0003447419,0.001447673,0.0002927751],"domain_scores_gemma":[0.9892245,0.008547497,0.0005959605,0.0002209536,0.001058989,0.0003521375],"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":[0.0002150798,0.0002360985,0.006273312,0.0004874507,0.0003258273,0.0002717681,0.0004725895,0.8919569,0.002731959,0.0290215,0.0009395146,0.06706786],"study_design_scores_gemma":[0.00002684374,0.0001275281,0.001008272,0.00006895973,0.00003402233,0.00002691773,0.0003439128,0.9771562,0.0008520764,0.01926782,0.001050774,0.00003669412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1732141,0.0008807592,0.8098486,0.001298359,0.0001141659,0.001614205,0.0006426705,0.0002408962,0.01214622],"genre_scores_gemma":[0.7040129,0.0002324921,0.2943394,0.00005502232,0.00002030258,0.0005700506,0.0001585702,0.00001688683,0.0005944837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01123027,"threshold_uncertainty_score":0.05939198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223051219615736,"score_gpt":0.3006776656284211,"score_spread":0.2783725436668475,"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."}}