{"id":"W4285530709","doi":"10.1079/9781789248234.0083","title":"Economic analysis of a softwood lumber quota regime and a policy to subsidize biomass generation of electricity.","year":2020,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Subsidy; Economics; Electricity; Agricultural economics; Welfare; Applied general equilibrium; International economics; Rest (music); International trade; Pulp and paper industry; Market economy; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004280666,0.0003599682,0.0003407399,0.0003275246,0.0006569223,0.002098927,0.0009768272,0.001065678,0.01583466],"category_scores_gemma":[0.0008555712,0.0002460512,0.0009035523,0.0005645725,0.0007493618,0.00108354,0.0006918625,0.001321162,0.0005974549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01040302,"about_ca_system_score_gemma":0.006491808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3529106,"about_ca_topic_score_gemma":0.4067591,"domain_scores_codex":[0.9998035,0.00007061339,0.00000256635,0.00002180499,0.00004165353,0.00005993327],"domain_scores_gemma":[0.9998074,0.00009434135,0.00001841484,0.000009345372,0.00004217384,0.00002826108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000181453,0.0001536264,0.003707424,0.0002380826,0.00009164112,0.0004205686,0.0001638776,0.4862932,0.001387975,0.4576481,0.03240802,0.01730598],"study_design_scores_gemma":[0.0001650627,0.0003539732,0.02256217,0.000230561,0.0003153133,0.0001621553,0.002015168,0.696736,0.001620739,0.155884,0.1198631,0.0000917952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2407367,0.003909467,0.01601128,0.006191447,0.0002160885,0.0002085343,0.003519648,0.0001663875,0.7290405],"genre_scores_gemma":[0.8973796,0.002099608,0.003372392,0.0005549812,0.00003877992,0.00008485513,0.0008948895,0.00004938023,0.0955255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3529106,"threshold_uncertainty_score":0.7017128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180575137558231,"score_gpt":0.23133580935157,"score_spread":0.2132782955957469,"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."}}