{"id":"W4245961351","doi":"10.3390/f11030316","title":"The State of British Columbia’s Forests: A Global Comparison","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainable forest management; Forest management; Geography; Sustainable management; Deforestation (computer science); Forest inventory; Forestry; Stakeholder; Environmental resource management; Agriculture; Environmental protection; Agroforestry; Sustainability; Business; Ecology; Environmental science; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000689837,0.0003739018,0.0003596238,0.009592222,0.001752906,0.002873394,0.0006048348,0.000291282,0.003830254],"category_scores_gemma":[0.002671231,0.0001453055,0.0004062314,0.02773095,0.0005769248,0.0007718076,0.001231235,0.0005005265,0.0004025796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01893164,"about_ca_system_score_gemma":0.01529518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856899,"about_ca_topic_score_gemma":0.9934546,"domain_scores_codex":[0.9989887,0.00006667994,0.00007072339,0.0001963056,0.0003890599,0.0002884778],"domain_scores_gemma":[0.9962493,0.0002027137,0.0002533484,0.0001514449,0.002743258,0.0003999673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002347659,0.0000554541,0.8353875,0.0005420995,0.0005811898,0.0005221164,0.003286913,0.002577866,0.000465895,0.003927917,0.05415718,0.09826098],"study_design_scores_gemma":[0.000008319655,0.00001119644,0.9527347,0.0002216725,0.0001009104,0.000107017,0.00585801,0.000579446,0.0001177063,0.0002656101,0.03996632,0.0000292181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7726004,0.00895666,0.0004332747,0.002096378,0.00009306885,0.0001141214,0.1221514,0.0001360533,0.09341867],"genre_scores_gemma":[0.9497956,0.003305627,0.0006398067,0.0002535405,0.00001545467,0.00005438551,0.04128374,0.00003969363,0.004612184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893164,"threshold_uncertainty_score":0.1373593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195050889368171,"score_gpt":0.2416771895719041,"score_spread":0.2297266806782224,"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."}}