{"id":"W53362473","doi":"10.1007/978-94-007-6982-3_4","title":"Development of Bioenergy Trade in Four Different Settings – The Role of Potential and Policies","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in energy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; Government of Canada; Natural Resources Canada","funders":"","keywords":"Bioenergy; Biomass (ecology); Natural resource economics; Resource (disambiguation); Agricultural economics; Biofuel; Business; Energy policy; Economics; International trade; Renewable energy; Engineering; Ecology; Waste management; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001143502,0.000384435,0.0002431881,0.001093474,0.002369988,0.01045746,0.000968392,0.002102802,0.01051791],"category_scores_gemma":[0.001165305,0.0002647768,0.0004039147,0.002613188,0.007447347,0.007168984,0.003379282,0.002672166,0.0005081723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007752327,"about_ca_system_score_gemma":0.004162667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840675,"about_ca_topic_score_gemma":0.007706932,"domain_scores_codex":[0.9992021,0.0003018218,0.00002103783,0.00007867037,0.0001329641,0.0002634304],"domain_scores_gemma":[0.9995847,0.0001369687,0.00004231579,0.00003886049,0.00005619307,0.0001409135],"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":[0.00003301316,0.00004170492,0.0007661579,0.00003767787,0.000006264153,0.0001165194,0.0008481756,0.001138433,0.0002822347,0.9752443,0.0009611527,0.02052427],"study_design_scores_gemma":[0.00001632973,0.0000521306,0.004824169,0.000372174,0.000009514797,0.0001795436,0.007846835,0.001442162,0.0008916928,0.8910925,0.09325033,0.00002262767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1042943,0.01425314,0.006697031,0.01398612,0.0001269024,0.00004644118,0.00008783604,0.00002501015,0.8604832],"genre_scores_gemma":[0.9505308,0.009614853,0.002916971,0.0009003937,0.00007264564,0.0000446431,0.00007000717,0.00002380702,0.03582588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051791,"threshold_uncertainty_score":0.05624735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005556020215454464,"score_gpt":0.1831430452251399,"score_spread":0.1775870250096854,"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."}}