{"id":"W1977913489","doi":"10.1007/s13762-014-0541-z","title":"Quantification of gas emissions from stored softwood chips as solid biofuels","year":2014,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Delta-Q Technologies (Canada); University of British Columbia","funders":"Biomass Program; Natural Sciences and Engineering Research Council of Canada; Health Canada; Canadian Natural Resources Limited; China Scholarship Council; U.S. Department of Energy","keywords":"Woodchips; Chemistry; Environmental chemistry; Carbon dioxide; Softwood; Carbon fibers; Biofuel; Pulp and paper industry; Environmental science; Waste management; Organic chemistry; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003524438,0.0006680613,0.0002044044,0.0006022003,0.0002575903,0.0006152751,0.0003217232,0.0004575193,0.001132247],"category_scores_gemma":[0.0002579014,0.0001888099,0.000370633,0.0004580602,0.0002613522,0.0003752972,0.0002774058,0.0003779976,0.0003233714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004419743,"about_ca_system_score_gemma":0.0004186644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003056327,"about_ca_topic_score_gemma":0.005381645,"domain_scores_codex":[0.9996927,0.00004177397,0.00001106062,0.00008380022,0.00009426424,0.00007636788],"domain_scores_gemma":[0.9998769,0.0000460446,0.00001164154,0.000009900232,0.00004220839,0.00001332654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004187837,0.00004816481,0.005288558,0.00007690507,0.00003341972,0.0000463603,0.00003966159,0.0007980132,0.9862536,0.0001731024,0.00006780955,0.006755695],"study_design_scores_gemma":[0.000005436321,0.0001131444,0.007426802,0.00001306559,0.00002191226,0.0000271926,0.0000667202,0.003460621,0.9878917,0.00006732325,0.0008996965,0.000006489785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907717,0.0008703291,0.006111771,0.00002094068,0.00002655256,0.00002476506,0.000964661,0.00004822974,0.001161141],"genre_scores_gemma":[0.9892728,0.0007183182,0.006316553,0.00003209573,0.00000722126,0.00005838936,0.001107819,0.00002370722,0.002463167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003056327,"threshold_uncertainty_score":0.006077051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005450329099165782,"score_gpt":0.2229816562405713,"score_spread":0.2175313271414056,"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."}}