{"id":"W1693310432","doi":"10.3968/4887","title":"Statistical Model of Extreme Values In Vehicular Emission","year":2014,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gumbel distribution; Quantile; Extreme value theory; Skewness; Generalized extreme value distribution; Plot (graphics); Statistics; Data set; Kurtosis; Mathematics; Environmental science","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":[0.005731616,0.0006688716,0.001003819,0.002237439,0.0005502916,0.002702815,0.001514402,0.001186736,0.002182345],"category_scores_gemma":[0.0214525,0.000543416,0.001098015,0.001741605,0.001859426,0.002742756,0.001163704,0.001921593,0.0006000074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146427,"about_ca_system_score_gemma":0.0007921348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365638,"about_ca_topic_score_gemma":0.001967595,"domain_scores_codex":[0.9969904,0.001330237,0.0001203635,0.0006465548,0.0005672394,0.0003451174],"domain_scores_gemma":[0.988502,0.008663718,0.001182866,0.000592275,0.0008760477,0.0001831537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001431545,0.00009777263,0.03698005,0.0001547617,0.000241082,0.0007142712,0.0009849382,0.7793882,0.001575739,0.1568104,0.00145911,0.02145048],"study_design_scores_gemma":[0.000007724275,0.00009240158,0.008289356,0.00003938086,0.00001969688,0.0001977091,0.0002235676,0.9185572,0.0002781123,0.07133066,0.0009205157,0.00004360015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3231086,0.0007440672,0.6682845,0.0009806436,0.00008741111,0.0001254985,0.0006304617,0.0005203311,0.00551857],"genre_scores_gemma":[0.9828288,0.0004180915,0.0131692,0.00006450903,0.0000556414,0.0001246797,0.0004783983,0.00004588912,0.002814791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005731616,"threshold_uncertainty_score":0.030312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469239727925619,"score_gpt":0.255393662355596,"score_spread":0.2307012650763398,"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."}}