{"id":"W3001549515","doi":"10.1115/imece2019-11891","title":"Fugitive Methane Emissions: Development of a Mobile High-Volume Sampling System","year":2019,"lang":"en","type":"article","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Methane; Greenhouse gas; Liquefied natural gas; Environmental science; Diesel fuel; Truck; Volume (thermodynamics); Natural gas; Sampling (signal processing); Fuel oil; Waste management; Environmental engineering; Engineering; Automotive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146191,0.0005689437,0.0005467768,0.0007504562,0.0004018239,0.0005318383,0.00133713,0.0005516409,0.001348769],"category_scores_gemma":[0.0008001389,0.0002974255,0.0003337026,0.000334341,0.000308588,0.000797142,0.0008505495,0.0003606695,0.0005712656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006010641,"about_ca_system_score_gemma":0.001076496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996955,"about_ca_topic_score_gemma":0.00214044,"domain_scores_codex":[0.9990804,0.0001430093,0.00004260425,0.000215889,0.0004540494,0.00006405391],"domain_scores_gemma":[0.999397,0.00009370834,0.00008462202,0.00006391188,0.0003086408,0.00005202976],"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":[0.001153502,0.000756839,0.02906593,0.0004725174,0.00008961816,0.0003333507,0.000300277,0.01298909,0.7290313,0.002191019,0.002240296,0.2213762],"study_design_scores_gemma":[0.00027172,0.004999916,0.02302506,0.00006051294,0.0001857297,0.0005829316,0.0002756991,0.3077658,0.6401873,0.0009228394,0.02154769,0.0001748033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3273629,0.000492757,0.6626703,0.0004676912,0.000185474,0.001173637,0.000614667,0.004381309,0.002651132],"genre_scores_gemma":[0.7554464,0.0002236058,0.2400941,0.0002219944,0.00007785033,0.0005619384,0.0005238841,0.00008349939,0.002766788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001996955,"threshold_uncertainty_score":0.006061733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207666414836573,"score_gpt":0.2279117110657339,"score_spread":0.2158350469173682,"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."}}