{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009767195,0.00006580868,0.000122766,0.000002674053,0.0001025371,0.0001199984,0.0003969659,0.00002196042,0.0006958321],"category_scores_gemma":[0.000043158,0.00007721564,0.0000587594,0.0002611467,0.0002586227,0.0001089992,0.0002874469,0.0000629782,0.0008324353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004683635,"about_ca_system_score_gemma":0.000007944039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04129016,"about_ca_topic_score_gemma":0.7388265,"domain_scores_codex":[0.9990234,0.000027143,0.0002219029,0.0001746629,0.0002781608,0.0002747723],"domain_scores_gemma":[0.9995824,0.0000263411,0.00009798153,0.0001737424,0.000005497368,0.0001140277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001012966,0.00001562113,0.6034549,0.000006247085,0.000007405746,0.000004310727,0.00007852137,0.0006926214,0.000001843947,0.0000565085,0.3800361,0.01563576],"study_design_scores_gemma":[0.000224874,0.0001091816,0.8351499,0.000007163936,0.000007770902,0.000001552387,0.00001068914,0.006660663,0.000002608668,0.002687417,0.1550521,0.00008612918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976664,0.00007849977,0.00007003389,0.0005633793,0.00007936101,0.0002410075,0.00006088836,0.00004244283,0.02220035],"genre_scores_gemma":[0.9944541,0.00001702307,0.00008612459,0.0002852975,0.00004048783,0.00001083808,0.000007729311,0.000008253603,0.005090136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6975363,"threshold_uncertainty_score":0.9999455,"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."}}