{"id":"W1589334687","doi":"10.1002/wcc.329","title":"Adapting forest certification to climate change","year":2014,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Waterloo; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Climate change; Certified wood; Environmental resource management; Forest management; Sustainable forest management; Vulnerability (computing); Corporate governance; Context (archaeology); Stewardship (theology); Certification; Geography; Climate change mitigation; Adaptation (eye); Business; Environmental planning; Political science; Ecology; Environmental science; Forestry","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":[0.01161887,0.0001666998,0.0001748869,0.001066538,0.001598332,0.003186262,0.0009216703,0.001765543,0.004238267],"category_scores_gemma":[0.02591672,0.0001434199,0.0003325561,0.001140062,0.002304016,0.002793657,0.003784776,0.00163978,0.0004473495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004094923,"about_ca_system_score_gemma":0.008385492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110634,"about_ca_topic_score_gemma":0.02024366,"domain_scores_codex":[0.9927192,0.002815401,0.0002685453,0.0006643906,0.001507706,0.002024869],"domain_scores_gemma":[0.9884148,0.003954997,0.001990303,0.001945838,0.002608591,0.001085385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001622565,0.0004617386,0.1031585,0.0004156491,0.0001054701,0.000791103,0.006286466,0.04329516,0.00566512,0.430768,0.01811359,0.3907769],"study_design_scores_gemma":[0.0001136959,0.0006078014,0.2717964,0.001191939,0.0001184491,0.0007292067,0.01315379,0.02867392,0.00702795,0.3625039,0.3138299,0.0002532282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5834913,0.002154674,0.0389395,0.01623687,0.0006280852,0.0006522842,0.000243893,0.0003758908,0.3572775],"genre_scores_gemma":[0.9910662,0.0003594536,0.003906538,0.0009056308,0.00003846023,0.00006823564,0.00006529969,0.00002441736,0.003565725],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01161887,"threshold_uncertainty_score":0.0614472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09776139011935306,"score_gpt":0.3326680289555519,"score_spread":0.2349066388361989,"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."}}