{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00129945,0.0003932755,0.0004801056,0.0001382017,0.0004400007,0.00009301509,0.000644428,0.00008995782,0.002749912],"category_scores_gemma":[0.00004832779,0.0003308736,0.0002048771,0.0005275052,0.0001016709,0.000720112,0.002835311,0.0001615872,0.03553106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692445,"about_ca_system_score_gemma":9.510302e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000874867,"about_ca_topic_score_gemma":0.0006435345,"domain_scores_codex":[0.9972728,0.0001844032,0.0006591009,0.0006859339,0.0002799153,0.0009178495],"domain_scores_gemma":[0.9985334,0.00004445204,0.0003096581,0.0008236463,0.00001088245,0.0002779705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000138659,0.0002880778,0.1209474,0.001080392,0.00001677262,0.00001262962,0.01685105,0.00004746661,0.0005595919,0.004507208,0.08721026,0.7683405],"study_design_scores_gemma":[0.0003505625,0.0005552044,0.09498465,0.001910449,0.00008470516,0.00001311157,0.000154494,0.009225243,0.00001987308,0.0005506368,0.8912181,0.000933018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5232638,0.004964231,0.000525287,0.03481942,0.003614704,0.01431031,0.0002175974,0.001066334,0.4172183],"genre_scores_gemma":[0.9666688,0.01599547,0.001759945,0.007020408,0.002622239,0.004354425,0.0002745292,0.0001569204,0.001147224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8040078,"threshold_uncertainty_score":0.9999143,"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."}}