{"id":"W2369766681","doi":"10.1016/b978-0-12-803832-1.00012-x","title":"Forensic fingerprinting of biodiesel and its blends with petroleum oil","year":2016,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Biodiesel; Diesel fuel; Petroleum; Environmental science; Pulp and paper industry; Waste management; Chemistry; Organic chemistry; 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":[0.0003669422,0.000644742,0.000319761,0.00182359,0.0004784083,0.001028536,0.0006827394,0.001093492,0.00436289],"category_scores_gemma":[0.0005517201,0.0003082863,0.000321085,0.0009602174,0.0004613982,0.001270883,0.0009692619,0.000711802,0.002547235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537715,"about_ca_system_score_gemma":0.0003362463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000509148,"about_ca_topic_score_gemma":0.001071595,"domain_scores_codex":[0.9996942,0.00002483755,0.00001121081,0.00006526099,0.000161318,0.00004312184],"domain_scores_gemma":[0.9998068,0.00005423944,0.00003179639,0.00002890558,0.00005970214,0.00001854133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000208118,0.00005163421,0.001173099,0.0002432411,0.0000237292,0.0007746521,0.0001559389,0.0004014448,0.803923,0.002293904,0.001647877,0.1891033],"study_design_scores_gemma":[0.000004339479,0.0001159289,0.00183849,0.00007747273,0.00002316015,0.003176073,0.0002388678,0.001897579,0.9640793,0.001616263,0.02690814,0.00002431632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5976034,0.04471624,0.2296056,0.001414188,0.0007382364,0.0002206853,0.001647926,0.001274157,0.1227795],"genre_scores_gemma":[0.7428707,0.02707577,0.08918703,0.0005188429,0.0001926058,0.00006679464,0.001227034,0.0004203346,0.138441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00436289,"threshold_uncertainty_score":0.01459527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118791046353244,"score_gpt":0.1947122777293968,"score_spread":0.1835243672658643,"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."}}