{"id":"W2083803362","doi":"10.5558/tfc77854-5","title":"Logging the globe: The changing context for Canadian forestry","year":2001,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill-Queen's University Press; University of Alberta; University of British Columbia","funders":"","keywords":"Globe; Logging; Forestry; Context (archaeology); Illegal logging; Geography; Business; Archaeology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001626404,0.0002925007,0.0004257711,0.002671242,0.02986624,0.0152938,0.001804288,0.003020884,0.0156778],"category_scores_gemma":[0.003294412,0.0002255955,0.0003656425,0.00774649,0.01058833,0.004142615,0.003297246,0.005439291,0.0004691562],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1578409,"about_ca_system_score_gemma":0.2011803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969933,"about_ca_topic_score_gemma":0.9992662,"domain_scores_codex":[0.9965968,0.0002166276,0.00004973665,0.0002277419,0.001013731,0.001895369],"domain_scores_gemma":[0.9960436,0.0004381024,0.0001685241,0.00007989416,0.00171347,0.001556506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009004758,0.00006974395,0.03243196,0.0004470572,0.00003623842,0.00209574,0.05209592,0.00104661,0.001218539,0.4586794,0.3253814,0.1264072],"study_design_scores_gemma":[0.00000780907,0.00001216874,0.03022762,0.0003814369,0.00002535477,0.0002408504,0.08135656,0.0002680881,0.0001509111,0.01418426,0.8730483,0.00009663725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1145298,0.02533191,0.001077591,0.4139926,0.002376384,0.00007511915,0.001405161,0.0001053285,0.4411061],"genre_scores_gemma":[0.8520194,0.02697651,0.001843858,0.0574158,0.0003876955,0.0000414952,0.0006649928,0.00009310706,0.06055713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8421591,"threshold_uncertainty_score":0.9767852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548341730474881,"score_gpt":0.238660232858396,"score_spread":0.2231768155536472,"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."}}