{"id":"W7056117645","doi":"","title":"Evaluating vehicular emissions with an integrated mesoscopic and microscopic traffic simulation","year":2014,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mesoscopic physics; Greenhouse gas; Mode (computer interface); Traffic simulation; Upstream (networking); Simulation modeling; Metropolitan area","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763538,0.00008130071,0.000125685,0.0002310048,0.0002546603,0.0001543177,0.0002911874,0.00005438598,0.00002663392],"category_scores_gemma":[0.0001821563,0.00005871909,0.00002114075,0.0001784769,0.00007921908,0.0002538846,0.00004364193,0.0005000592,0.000001842001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005194798,"about_ca_system_score_gemma":0.00003473142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000444498,"about_ca_topic_score_gemma":0.00002367571,"domain_scores_codex":[0.9987317,0.0003750661,0.0003081578,0.00009652833,0.0003820807,0.0001064272],"domain_scores_gemma":[0.9983466,0.0004587666,0.0001094263,0.0002419717,0.0007294713,0.0001137576],"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":[0.000202881,0.0003063847,0.01735057,0.00007484746,0.0003881446,0.000002174352,0.003026204,0.8412688,0.01086504,0.001770059,0.002419363,0.1223255],"study_design_scores_gemma":[0.0007384683,0.0003172265,0.01602483,0.0001439962,0.00003397265,0.00001781401,0.0009974301,0.9714583,0.0007313536,0.0006510128,0.008787354,0.00009830767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884793,0.0008680692,0.009765416,0.000590347,0.00002696891,0.0001062282,0.000006025132,0.00002022457,0.0001373975],"genre_scores_gemma":[0.982444,0.003233169,0.01417675,0.00001835129,0.0000469105,0.000009381562,0.00001579092,0.00001398687,0.00004159836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301894,"threshold_uncertainty_score":0.2394495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06419500215541044,"score_gpt":0.4106356183746515,"score_spread":0.346440616219241,"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."}}