{"id":"W1927765010","doi":"10.25165/ijabe.v7i2.996","title":"Effect of Fuel Additives on Agricultural Straw Pellet Quality","year":2014,"lang":"en","type":"article","venue":"International journal of agricultural and biological engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Pellets; Pellet; Straw; Biomass (ecology); Pulp and paper industry; Sodium hydroxide; Blank; Biofuel; Bioenergy; Materials science; Waste management; Animal science; Chemistry; Composite material; Agronomy; Engineering","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":[0.0001921022,0.0004308315,0.0003625605,0.0002555324,0.0001952528,0.0004624345,0.0002158329,0.0002651691,0.001269872],"category_scores_gemma":[0.0003948876,0.0001563733,0.0002972766,0.0003444917,0.0001459136,0.0002831382,0.0002161499,0.0003415186,0.0001849487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928315,"about_ca_system_score_gemma":0.0001728736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514626,"about_ca_topic_score_gemma":0.003163408,"domain_scores_codex":[0.9997084,0.00005020831,0.00003475467,0.00006606684,0.0000958188,0.00004467668],"domain_scores_gemma":[0.9996675,0.00006884064,0.0000969765,0.00001599646,0.0001051127,0.00004554404],"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":[0.0009402637,0.00009404973,0.001527401,0.0002424222,0.00003488825,0.000110871,0.00003900344,0.0001788807,0.9931198,0.00001489873,0.00002581277,0.003671674],"study_design_scores_gemma":[0.0000113344,0.001868485,0.01556242,0.00001612279,0.00006607672,0.00009227684,0.0001024276,0.0003019617,0.9807423,0.00001521622,0.001210925,0.00001047299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981353,0.0007629128,0.0002674209,0.00001460023,0.00001398523,0.00001387119,0.000160367,0.00001588434,0.0006154677],"genre_scores_gemma":[0.9966169,0.0006126554,0.001230391,0.00003468548,0.000005334547,0.00001469745,0.0002181832,0.0000143094,0.001252758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001514626,"threshold_uncertainty_score":0.004248142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006742298246493197,"score_gpt":0.2148071783724771,"score_spread":0.208064880125984,"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."}}