{"id":"W1974915244","doi":"10.1016/j.egypro.2014.12.242","title":"Biomass-derived Oxymethylene Ethers as Diesel Additives: A Thermodynamic Analysis","year":2014,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Helmholtz-Alberta Initiative","keywords":"Tonne; Environmental science; Biomass (ecology); Diesel fuel; Waste management; Syngas; Combustion; Fossil fuel; Fluidized bed; Environmental engineering; Pulp and paper industry; Chemistry; Engineering","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":[0.0001447036,0.0002560763,0.0003048126,0.0003048463,0.0001762902,0.000370012,0.0002622246,0.0002079174,0.000873272],"category_scores_gemma":[0.0001705708,0.0001826386,0.0004547655,0.0002813243,0.0001538855,0.0004037861,0.0001523224,0.0002179771,0.0001822314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583116,"about_ca_system_score_gemma":0.0003731832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003388846,"about_ca_topic_score_gemma":0.005112303,"domain_scores_codex":[0.9999571,0.000006415517,0.000002595757,0.000006009757,0.00002106026,0.000006762773],"domain_scores_gemma":[0.9999681,0.00001575692,0.000004829425,0.00000238897,0.00000664966,0.000002192848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002926497,0.0003153403,0.006107416,0.0004231323,0.00006052631,0.0002544801,0.00003994037,0.711609,0.248278,0.008766865,0.000168097,0.02368449],"study_design_scores_gemma":[0.00001291527,0.0001617317,0.00194863,0.000005961779,0.00002195521,0.00003096246,0.00002027642,0.9096645,0.08609049,0.0009578168,0.00107547,0.00000932585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634513,0.001298678,0.02954083,0.00007440714,0.00001326278,0.0000487091,0.0002730729,0.00003878757,0.00526098],"genre_scores_gemma":[0.9954177,0.0006533177,0.002557343,0.000004505094,0.000002293731,0.0000199191,0.0001180281,0.000006592029,0.001220288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003388846,"threshold_uncertainty_score":0.006738245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004251536381600625,"score_gpt":0.1917207672492832,"score_spread":0.1874692308676826,"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."}}