{"id":"W2022270528","doi":"10.1016/j.apenergy.2012.04.007","title":"Wet ethanol in HCCI engines with exhaust heat recovery to improve the energy balance of ethanol fuels","year":2012,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homogeneous charge compression ignition; Heat exchanger; Energy balance; Combustion; Environmental science; Exhaust gas recirculation; Waste management; Internal combustion engine; Automotive engineering; Chemistry; Combustion chamber; Engineering; Thermodynamics; Mechanical 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":[0.00008775711,0.0001659866,0.0001924872,0.0001528067,0.0001370292,0.0003392376,0.000198259,0.0001199788,0.001599176],"category_scores_gemma":[0.00009487553,0.00008933494,0.000137483,0.0001614297,0.0001305513,0.0003084907,0.0001327472,0.0002229227,0.0001837727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360498,"about_ca_system_score_gemma":0.0001728245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883917,"about_ca_topic_score_gemma":0.003761936,"domain_scores_codex":[0.9999608,0.000002942603,0.000002024317,0.000007393889,0.0000141216,0.00001278732],"domain_scores_gemma":[0.9999753,0.000004944496,0.000005757155,0.00000236796,0.000007208044,0.000004443865],"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":[0.001013898,0.0001688728,0.0008682514,0.0001403283,0.00002307624,0.00007551536,0.00003836696,0.003581437,0.9823359,0.001045284,0.0002014918,0.01050761],"study_design_scores_gemma":[0.00002108157,0.0001472196,0.001098702,0.000002766247,0.00001897237,0.000012103,0.00002482787,0.0107956,0.9872574,0.00005837469,0.0005581289,0.000004817883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963954,0.0003227911,0.001676613,0.00004014487,0.00002451866,0.000007592173,0.00004475661,0.0000383148,0.001449929],"genre_scores_gemma":[0.9983694,0.0001241803,0.0003724728,0.000007657014,0.000003648474,0.000002759321,0.00002883943,0.00001004607,0.001080984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001883917,"threshold_uncertainty_score":0.005349755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007415019491105687,"score_gpt":0.2065849031628509,"score_spread":0.1991698836717452,"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."}}