{"id":"W2482859397","doi":"10.1093/jof/101.8.42","title":"British Columbia's Environmental Forestry Policy Record in Perspective","year":2003,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clearcutting; Forestry; Certified wood; Riparian zone; Forest management; Logging; Service (business); Environmental policy; State (computer science); State forest; Business; Geography; Environmental protection; Environmental planning; Ecology; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863999,0.0001158864,0.0002735243,0.0001399419,0.0001100137,0.0004922057,0.0002702789,0.0001240321,0.0003490299],"category_scores_gemma":[0.001049259,0.0001575487,0.0002032129,0.0003419076,0.00012196,0.001056966,0.00005605396,0.0003625284,0.000008333033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005906394,"about_ca_system_score_gemma":0.000164647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03318835,"about_ca_topic_score_gemma":0.008777799,"domain_scores_codex":[0.9987237,0.00002849167,0.0004224523,0.0001485092,0.0003027031,0.0003740746],"domain_scores_gemma":[0.9993408,0.00002752003,0.0003494245,0.0001458058,0.00009344781,0.00004298448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002749981,0.0003131331,0.9899712,0.00003291303,0.0000303492,0.000286664,0.0001998828,0.000032405,0.000008147761,0.002930789,0.004513564,0.001653445],"study_design_scores_gemma":[0.001074008,0.00005376852,0.8379709,0.00006741052,0.00003470212,0.00008978576,0.02110866,0.00001255788,0.000001732481,0.1311143,0.008281698,0.000190482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760187,0.0002037073,0.000007350606,0.0004314924,0.0003103879,0.0001324719,0.000004337581,0.00001122429,0.02288031],"genre_scores_gemma":[0.9978237,0.00005805587,0.00009682471,0.0004581941,0.001206286,0.000001590338,0.00000170474,0.00001889273,0.0003347764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520003,"threshold_uncertainty_score":0.9732497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002593327170898,"score_gpt":0.2426712873637009,"score_spread":0.2326453540919919,"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."}}