{"id":"W2905525260","doi":"10.1016/j.gloenvcha.2018.11.003","title":"Criteria for effective zero-deforestation commitments","year":2018,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; University of Waterloo","funders":"Vetenskapsrådet; Svenska Forskningsrådet Formas; National Socio-Environmental Synthesis Center; National Science Foundation","keywords":"Deforestation (computer science); Business; Clearing; Sustainability; Reforestation; Certification; Natural resource economics; Economics; Agroforestry; Environmental science; Finance; Computer science; Ecology","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":[0.0424554,0.001143896,0.000830384,0.005125353,0.002375132,0.006088533,0.002708888,0.00202976,0.009447885],"category_scores_gemma":[0.1006445,0.0004514176,0.001087003,0.002976751,0.002783014,0.004843215,0.00516445,0.002382933,0.001703372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003990856,"about_ca_system_score_gemma":0.005900526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004687092,"about_ca_topic_score_gemma":0.005492561,"domain_scores_codex":[0.9537063,0.0125271,0.00556141,0.001426299,0.0227213,0.004057616],"domain_scores_gemma":[0.8854914,0.04768213,0.01349261,0.004907611,0.04365212,0.004774093],"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":[0.001102356,0.00211231,0.167822,0.002909053,0.0003407619,0.001545347,0.01355304,0.1130949,0.01237326,0.3823951,0.01864535,0.2841065],"study_design_scores_gemma":[0.0005861215,0.004302976,0.2482177,0.004963377,0.0005378153,0.001683343,0.05685697,0.1833855,0.04165592,0.2450588,0.212037,0.0007146089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4488766,0.001168468,0.1949794,0.003613542,0.0002271768,0.008534065,0.002053326,0.0005671667,0.3399803],"genre_scores_gemma":[0.8851349,0.000231437,0.1039814,0.0003513062,0.00003500413,0.003084007,0.000985937,0.0001356871,0.006060214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0424554,"threshold_uncertainty_score":0.2245283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315117919589475,"score_gpt":0.2916910781212253,"score_spread":0.2585398989253306,"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."}}