{"id":"W2893996553","doi":"10.4271/2018-01-1757","title":"Evaluation of Engine Programming to Reduce Fuel Consumption","year":2018,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Fuel efficiency; Automotive engineering; Consumption (sociology); Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001577274,0.0004678344,0.0005386434,0.0002353547,0.0001875001,0.00004975426,0.000548316,0.0004918176,0.0008278332],"category_scores_gemma":[0.0005907203,0.0004223476,0.0001900579,0.000774961,0.0004725019,0.0003437872,0.0001639432,0.0006186085,0.0002151462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167317,"about_ca_system_score_gemma":0.00008064126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001169484,"about_ca_topic_score_gemma":0.009212584,"domain_scores_codex":[0.9966202,0.00009879819,0.0008272571,0.0006017821,0.001195948,0.0006560507],"domain_scores_gemma":[0.9980796,0.0001369153,0.0001060284,0.0009740072,0.0003691232,0.0003343222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009532431,0.000116449,0.0001016631,0.00009278052,0.00003368679,0.000002192568,0.00005667958,0.0003753564,0.8916196,0.0006299738,0.001548519,0.1053278],"study_design_scores_gemma":[0.0006879613,0.001143539,0.9310929,0.0004338682,0.0001371401,0.00003978327,0.00004508414,0.00001532166,0.003869844,0.0004218626,0.06154944,0.0005632811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725679,0.0005697215,0.000006840325,0.0006890591,0.0003816895,0.001184424,0.00002832891,0.002029957,0.02254208],"genre_scores_gemma":[0.9914675,0.0002557439,0.007252908,0.0001989149,0.0002635341,0.0003416507,0.00002459137,0.00009369993,0.0001013955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9309912,"threshold_uncertainty_score":0.9998229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812395719860734,"score_gpt":0.2929887105961159,"score_spread":0.2648647533975086,"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."}}