{"id":"W4313404342","doi":"10.3390/app122412981","title":"A Microscopic Traffic Flow Model Characterization for Weather Conditions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Traffic flow (computer networking); Adverse weather; Snow; Meteorology; Environmental science; Microscopic traffic flow model; Weather station; Computer science; Traffic generation model; Geography; Real-time computing","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":[],"consensus_categories":[],"category_scores_codex":[0.0001018985,0.00005611819,0.00006032816,0.00005529423,0.0003486718,0.00003245642,0.0001323929,0.000008741538,0.00008562789],"category_scores_gemma":[7.432321e-7,0.00005600194,0.00002178281,0.0001404362,0.00003288766,0.00004322547,0.00001999902,0.00003216818,0.000006119289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000224936,"about_ca_system_score_gemma":0.00001368026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.524951e-7,"about_ca_topic_score_gemma":0.000002625467,"domain_scores_codex":[0.9995567,0.000002688809,0.00007736952,0.000124487,0.00009718969,0.0001415553],"domain_scores_gemma":[0.9998941,0.00001216159,0.0000119799,0.00005922458,0.00000387256,0.00001868422],"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":[0.00000155565,0.00001244097,8.438735e-7,0.000007041578,0.00000505958,6.870115e-8,0.0002230405,0.9359866,0.05239181,0.004851116,0.0007053116,0.005815057],"study_design_scores_gemma":[0.0002285854,0.00001788747,0.0001396369,9.37343e-7,0.000007972642,2.97872e-7,0.0001517938,0.989746,0.0001920299,0.0003037361,0.009131255,0.00007981253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195363,0.00004864178,0.1713953,0.0003262039,0.0004785885,0.0008733089,0.0001740121,0.0005119765,0.006655612],"genre_scores_gemma":[0.9974436,0.000002807537,0.001384245,0.0001348587,0.00002388899,0.0006472055,0.0000418993,0.000007295861,0.0003141749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1779073,"threshold_uncertainty_score":0.2681737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160496660272669,"score_gpt":0.2119910788901327,"score_spread":0.200386112287406,"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."}}