{"id":"W7044382980","doi":"","title":"Wood Resources International: Over 22 Million Tons of Wood Pellets Were Shipped Globally in 2018, up 21% From 2017. The US, Canada, Vietnam, Latvia and Russia, Accounted for 69% of Global Exports in 2018 - Commodities (COMMODIT) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pellets; Exportation; Raw material; Production (economics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002950515,0.0003207078,0.0005976386,0.00003472416,0.00005527485,0.00006201641,0.0007370039,0.0003729,0.001604645],"category_scores_gemma":[0.00003616519,0.0001364166,0.0001045336,0.0001459658,0.0001796416,0.00008847193,0.0002821942,0.0001586973,0.000002635414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135073,"about_ca_system_score_gemma":0.0002009439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7585141,"about_ca_topic_score_gemma":0.9780354,"domain_scores_codex":[0.9981223,0.0001045519,0.0006381581,0.0004623025,0.0003529448,0.0003197862],"domain_scores_gemma":[0.9990504,0.0001995762,0.0004340372,0.0001876488,0.00006064397,0.00006762733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002208108,0.0001620695,0.2413189,0.00008247004,0.0001311559,0.000005087607,0.0002479195,0.000003751344,0.00003737771,0.0006547107,0.7523025,0.004833241],"study_design_scores_gemma":[0.0005124652,0.00007077553,0.3626251,0.0001639731,0.00001320748,0.000001414569,0.002545082,0.00002946541,0.00001165724,0.000639406,0.633126,0.0002615116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937064,0.001256325,0.000001938108,0.006150444,0.0007048974,0.001266881,0.002995527,0.00002077898,0.05053921],"genre_scores_gemma":[0.9351486,0.0004354007,0.0001469895,0.001130194,0.0002276543,0.00006975004,0.0007799827,0.00001253323,0.06204887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2195213,"threshold_uncertainty_score":0.999308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121746988195815,"score_gpt":0.2187955559679695,"score_spread":0.2075780860860113,"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."}}