{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981594,0.0006946407,0.0004090516,0.0006537003,0.0003037836,0.000641403,0.0007481178,0.0005048756,0.001437859],"category_scores_gemma":[0.0006870123,0.000196039,0.0005994884,0.000536619,0.0002371288,0.001032296,0.0003354331,0.000475669,0.0003133346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006841626,"about_ca_system_score_gemma":0.0009117837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160391,"about_ca_topic_score_gemma":0.009093584,"domain_scores_codex":[0.9998041,0.00002385349,0.000009889245,0.00006439699,0.00006042492,0.0000373613],"domain_scores_gemma":[0.9997737,0.00004221921,0.00004169342,0.00003334443,0.0000934588,0.00001563424],"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":[0.00002227153,0.00003708994,0.00366498,0.00003080079,0.00001660352,0.00004719507,0.000028988,0.9719877,0.005563689,0.005066422,0.0008532027,0.01268112],"study_design_scores_gemma":[0.000001776006,0.00001361219,0.0009584927,0.000002019628,0.000006900068,0.00002174613,0.00000684023,0.9972435,0.0004312136,0.0006595731,0.0006484645,0.000005793066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1636833,0.0001984722,0.8231591,0.0001324398,0.0001314619,0.0001176707,0.001106822,0.0007587618,0.01071193],"genre_scores_gemma":[0.9646236,0.0002620373,0.02896621,0.00002469357,0.00004146286,0.0001409983,0.001171625,0.00006213962,0.004707213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0160391,"threshold_uncertainty_score":0.03189147,"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."}}