{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867431,0.000112577,0.0002274937,0.00008063977,0.00001309966,0.000008314925,0.0001232907,0.00008046849,0.00001607968],"category_scores_gemma":[0.00001645757,0.00009819688,0.00001524018,0.0001210732,0.00004359677,0.00002535986,0.00003403302,0.0001493755,0.000005301438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002396371,"about_ca_system_score_gemma":0.000008551359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.277746e-7,"about_ca_topic_score_gemma":5.94016e-7,"domain_scores_codex":[0.9992005,0.000005600906,0.0003425048,0.0001007351,0.0001641921,0.0001864537],"domain_scores_gemma":[0.9996479,0.00006320134,0.00003580647,0.0001962513,0.000009973044,0.00004692717],"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":[0.00003824975,0.0010209,0.01021657,0.006663627,0.00002709043,0.000007096756,0.005577514,0.5325661,0.02210667,0.1601272,0.0004802218,0.2611687],"study_design_scores_gemma":[0.0002571796,0.000009374433,0.000144591,0.0001824818,0.000003747371,6.840471e-7,0.0000407984,0.9684411,0.006395057,0.0243563,0.00005875665,0.0001099412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8404282,0.0002402209,0.149517,0.00001278394,0.00003354552,0.0002623157,0.000005633502,0.0001020415,0.009398241],"genre_scores_gemma":[0.8233973,0.00003132136,0.1764844,0.000002527068,0.00001083086,0.00003917768,0.000003087853,0.00002023841,0.00001103738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4358749,"threshold_uncertainty_score":0.4004352,"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."}}