{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002600805,0.0001552985,0.0001333653,0.00007121943,0.0001860233,0.00003454816,0.0002192309,0.00006078269,0.0001874669],"category_scores_gemma":[0.00004514908,0.0001507306,0.00003310505,0.0001554183,0.00008854234,0.000225745,0.0003359277,0.00006342892,0.00007745778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614596,"about_ca_system_score_gemma":0.0001350963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4903798,"about_ca_topic_score_gemma":0.829969,"domain_scores_codex":[0.9987002,0.00001669939,0.0001596314,0.000277024,0.000236347,0.0006100899],"domain_scores_gemma":[0.999454,0.00007023074,0.000055081,0.0002335261,0.00001077363,0.0001764332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003617423,0.00002548566,0.02830318,0.0003816255,0.00003024181,0.0003764955,0.0005301831,0.0004917982,0.000008786809,0.1210479,0.8201622,0.0286059],"study_design_scores_gemma":[0.0003544591,0.00007498532,0.1251494,0.00001410368,0.00001259534,0.000004968772,0.0004667875,0.004822541,0.000008674129,0.01028244,0.8585803,0.000228748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677214,0.0003894219,0.00001246601,0.008211347,0.0001979848,0.001101119,0.00009630161,0.000240375,0.1220296],"genre_scores_gemma":[0.8981662,0.0003378161,0.00005773855,0.0003514195,0.0001189148,0.00009757913,0.000122329,0.00003261765,0.1007154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3395891,"threshold_uncertainty_score":0.6146616,"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."}}