{"id":"W4388452860","doi":"10.3390/f14112206","title":"Canada’s Green Gold: Unveiling Challenges, Opportunities, and Pathways for Sustainable Forestry Offsets","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; China Scholarship Council","keywords":"Carbon offset; Indigenous; Thematic analysis; Environmental resource management; Business; Sustainability; Sustainable forest management; Political science; Environmental planning; Climate change; Forestry; Qualitative research; Forest management; Geography; Sociology; Ecology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005009421,0.0003552594,0.000393819,0.00112187,0.02435687,0.01085156,0.001478223,0.002364628,0.004162201],"category_scores_gemma":[0.006590861,0.0002385083,0.0003501555,0.002525392,0.008457247,0.00359397,0.004915625,0.00409955,0.0002109874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1167111,"about_ca_system_score_gemma":0.4085785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802963,"about_ca_topic_score_gemma":0.9949786,"domain_scores_codex":[0.9933165,0.001399114,0.0001186651,0.0003861253,0.002238985,0.002540575],"domain_scores_gemma":[0.9932044,0.00165288,0.0002497801,0.000143861,0.00255571,0.002193282],"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":[0.0001474966,0.0001913848,0.0480682,0.001999627,0.0001021476,0.003954559,0.222495,0.005088104,0.005716172,0.3680642,0.09605467,0.2481184],"study_design_scores_gemma":[0.00001216364,0.00005675513,0.02262484,0.0009350671,0.00004283874,0.0002681448,0.4321184,0.001501471,0.001512568,0.03328492,0.507517,0.0001256572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4283324,0.01226037,0.01043411,0.3469066,0.0007476748,0.0003518935,0.0008536597,0.0001261254,0.1999871],"genre_scores_gemma":[0.9545618,0.005024783,0.009287268,0.01071692,0.00003206355,0.00005675484,0.0001747996,0.00004281254,0.02010274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1167111,"threshold_uncertainty_score":0.8468024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04641903175640213,"score_gpt":0.2354259353642126,"score_spread":0.1890069036078105,"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."}}