{"id":"W2012719946","doi":"10.5539/mas.v3n3p3","title":"An Experimental Approach for Engine Mapping","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuel efficiency; Automotive engineering; Torque; Diesel engine; Computer science; Thrust specific fuel consumption; Test bench; Diesel fuel; Statistical model; Engineering; Machine learning; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001596217,0.0008921105,0.0003616737,0.0009158799,0.0008919112,0.001120281,0.001179324,0.0009657996,0.00665545],"category_scores_gemma":[0.002743494,0.0003962521,0.0004032224,0.0008299818,0.000792697,0.001193598,0.001498071,0.000853001,0.001715322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147561,"about_ca_system_score_gemma":0.0009916244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072995,"about_ca_topic_score_gemma":0.001167499,"domain_scores_codex":[0.9978472,0.0004259879,0.0001369259,0.0006466443,0.0007840288,0.0001592242],"domain_scores_gemma":[0.9979796,0.0004373239,0.0001140982,0.0008125374,0.0005895194,0.00006704386],"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":[0.0003220067,0.001029021,0.002933397,0.0003856328,0.00003588617,0.0001168508,0.0005732464,0.003827816,0.8994997,0.0104658,0.000899547,0.07991105],"study_design_scores_gemma":[0.00007847873,0.002234611,0.006361993,0.00005233702,0.00005909497,0.0005362442,0.0008405668,0.03589999,0.9149057,0.005902862,0.03302214,0.0001058966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1170371,0.000243834,0.8614024,0.0002141101,0.0003239759,0.001169911,0.001024462,0.00195747,0.01662668],"genre_scores_gemma":[0.4552441,0.0003016702,0.5320964,0.0002363931,0.00006881958,0.002609836,0.0008701656,0.0002919009,0.008280763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00665545,"threshold_uncertainty_score":0.02226472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074360774917144,"score_gpt":0.2803534574628671,"score_spread":0.2496098497136957,"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."}}