{"id":"W2921115574","doi":"10.1016/j.egypro.2019.01.201","title":"Feasibility Analysis of Pyrolysis Waste Engine Oil in CRDI Diesel Engine","year":2019,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; Department of Science and Technology, Ministry of Science and Technology, India; International Development Research Centre","keywords":"Diesel engine; Diesel fuel; Pyrolysis; Combustion; Brake specific fuel consumption; Common rail; Waste management; NOx; Materials science; Pulp and paper industry; Chemistry; Automotive engineering; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002042781,0.0002158619,0.0001808868,0.0003066504,0.0001134783,0.0003131492,0.000314012,0.0001889322,0.0005623603],"category_scores_gemma":[0.0002054127,0.0001444457,0.0002678572,0.0002241358,0.0001313524,0.0003345362,0.0001834783,0.0002522985,0.0001689604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225192,"about_ca_system_score_gemma":0.0002267928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009445196,"about_ca_topic_score_gemma":0.001982497,"domain_scores_codex":[0.9998556,0.00001151972,0.000007573372,0.00002717177,0.00007447022,0.0000234807],"domain_scores_gemma":[0.9999201,0.00001454788,0.00001632654,0.000005347484,0.0000367582,0.000006925183],"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":[0.0002547057,0.00004431494,0.001651228,0.0001595082,0.000005939386,0.0001331818,0.00002765478,0.0004196073,0.9901237,0.0001627671,0.0000206444,0.006996757],"study_design_scores_gemma":[0.000006693279,0.0002888189,0.003069982,0.000006862338,0.0000146991,0.000106928,0.00005742862,0.002840884,0.9929839,0.00004025208,0.0005780884,0.000005347861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99008,0.0008754105,0.007631845,0.00002643721,0.00001380806,0.00003291134,0.00007251438,0.00003089998,0.001236203],"genre_scores_gemma":[0.9937395,0.0005837145,0.004576335,0.000008520302,0.0000021731,0.00001140743,0.00007607342,0.00000797439,0.0009944147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009445196,"threshold_uncertainty_score":0.001881301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005227354381269299,"score_gpt":0.1899646551877548,"score_spread":0.1847373008064855,"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."}}