{"id":"W312959530","doi":"","title":"Current and future trade opportunities for woody biomass end-products from British Columbia, Canada.","year":2008,"lang":"en","type":"article","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Biomass (ecology); Agricultural economics; Geography; Agroforestry; Forestry; Environmental science; Business; Economics; Oceanography; Geology","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":[0.0002727991,0.0003344533,0.0001602685,0.001361511,0.003680481,0.002171354,0.0006343802,0.0004071436,0.01296189],"category_scores_gemma":[0.0004921181,0.0001408259,0.0001977538,0.003787024,0.0004735561,0.0005865979,0.0004898095,0.0006036708,0.0009516467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02479538,"about_ca_system_score_gemma":0.0321934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941818,"about_ca_topic_score_gemma":0.9989298,"domain_scores_codex":[0.9996365,0.00001439208,0.00001285621,0.000042256,0.0001305744,0.0001633899],"domain_scores_gemma":[0.9993508,0.00003432393,0.0000336664,0.00001144437,0.0004373582,0.0001323267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001076689,0.0002184427,0.38656,0.0008391651,0.0001109161,0.003281101,0.006073208,0.002156055,0.0123477,0.01305459,0.1043923,0.4698898],"study_design_scores_gemma":[0.00002336001,0.00004751826,0.6984201,0.0005031605,0.00007226245,0.0005739044,0.02216169,0.001782646,0.003065784,0.001429776,0.2718408,0.00007897669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8001187,0.01608727,0.0009639696,0.006400381,0.0001357827,0.00009481169,0.01612804,0.00009085833,0.1599801],"genre_scores_gemma":[0.8624057,0.007465342,0.001905481,0.0005869986,0.00001328342,0.00002579975,0.006288705,0.00003709336,0.1212716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02479538,"threshold_uncertainty_score":0.1799039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731615082515659,"score_gpt":0.1926659619166307,"score_spread":0.1653498110914741,"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."}}