{"id":"W1593822039","doi":"10.4271/2005-01-3770","title":"A Fuel Quality Sensor for Fuel Cell Vehicles, Natural Gas Vehicles, and Variable Gaseous Fuel Vehicles","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuel cells; Automotive engineering; Green vehicle; Miles per gallon gasoline equivalent; Natural gas; Variable (mathematics); Quality (philosophy); Environmental science; Fuel efficiency; Computer science; Waste management; Engineering; Physics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000877027,0.001146895,0.001287523,0.000160308,0.0006866202,0.0002982382,0.001248699,0.001311787,0.000721584],"category_scores_gemma":[0.0006465844,0.001074247,0.0005760206,0.0006443731,0.001259017,0.0005477065,0.000504239,0.001983982,0.0001243434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005120288,"about_ca_system_score_gemma":0.0002117643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607022,"about_ca_topic_score_gemma":0.02191549,"domain_scores_codex":[0.9936731,0.0001361694,0.001587329,0.002047557,0.0009487136,0.001607093],"domain_scores_gemma":[0.9950382,0.001489199,0.0004510315,0.002089903,0.0002256284,0.0007060123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009550464,0.0009845736,0.0002294415,0.0008999185,0.00007670189,0.00001694609,0.00006547643,0.00001657481,0.9749647,0.01394307,0.005239928,0.002607596],"study_design_scores_gemma":[0.00436141,0.0008546551,0.3748496,0.0003217976,0.0004084861,0.0002373102,0.0005156496,0.000004670037,0.01115472,0.01803573,0.586885,0.002370971],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651444,0.0101013,0.000006046528,0.01173902,0.0002023184,0.002183534,0.001124806,0.00507234,0.1044263],"genre_scores_gemma":[0.9770184,0.001430548,0.01379817,0.002830588,0.0005823869,0.001038969,0.0002707876,0.0002191097,0.002811002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.96381,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213923910462817,"score_gpt":0.2652628202017776,"score_spread":0.2531235810971494,"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."}}