{"id":"W2258171050","doi":"10.4271/2004-01-2918","title":"Preliminary Energy Efficiency Analysis of an EGR Fuel-Reformer","year":2004,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Canada Research Chairs; University of Windsor; Ford Motor Company","keywords":"Automotive engineering; Environmental science; Computer science; Nuclear engineering; 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":[0.0004020527,0.0003823067,0.0007743679,0.000689602,0.0003699494,0.0004287333,0.0006518289,0.000516199,0.004230625],"category_scores_gemma":[0.0005506106,0.0002016995,0.0005156703,0.0005284547,0.000211587,0.0006171601,0.0001611778,0.0002607236,0.00160549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006960691,"about_ca_system_score_gemma":0.0001649437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002819018,"about_ca_topic_score_gemma":0.00237169,"domain_scores_codex":[0.9996884,0.00003354923,0.00002062052,0.0000566501,0.0001446826,0.00005615438],"domain_scores_gemma":[0.9997368,0.0001186994,0.0000163657,0.00002723353,0.00009086444,0.00001008298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004902266,0.0006654066,0.01345239,0.0005789884,0.000163827,0.0004373252,0.0002028388,0.06730583,0.8293631,0.001688842,0.00157992,0.07965931],"study_design_scores_gemma":[0.00007758923,0.0009416772,0.01664724,0.00001016386,0.00006981423,0.00008597376,0.00005150646,0.05917088,0.9198253,0.0001500659,0.002946011,0.00002369703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848558,0.0005508313,0.007480753,0.00005213606,0.00001288208,0.00004577694,0.0005381385,0.0002228739,0.006240694],"genre_scores_gemma":[0.9918609,0.0001986532,0.001645509,0.0000179079,0.000003008974,0.00001774182,0.0005098638,0.00006780933,0.005678646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004230625,"threshold_uncertainty_score":0.01415282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008274465127432514,"score_gpt":0.2391471205759731,"score_spread":0.2308726554485405,"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."}}