{"id":"W6901699706","doi":"10.60692/tg6k7-0tr77","title":"Macroscopic flow characterization at T-junctions","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Flow (mathematics); Traffic flow (computer networking); Flow conditions; Traffic model; Characterization (materials science); Minor (academic); Microscopic traffic flow model","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":[0.0002137607,0.0002531955,0.0003302601,0.0006904908,0.0004725084,0.0008777015,0.0003821022,0.000384654,0.001386381],"category_scores_gemma":[0.0003802479,0.0001001526,0.0002467918,0.0004790339,0.0004472679,0.0004774909,0.000363804,0.0003030138,0.0001639297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006567727,"about_ca_system_score_gemma":0.0004403273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01361589,"about_ca_topic_score_gemma":0.006376693,"domain_scores_codex":[0.9998773,0.00001158183,0.000005402836,0.00003976087,0.00002942295,0.00003646593],"domain_scores_gemma":[0.9998507,0.00002744164,0.00003209446,0.00001717418,0.00004601367,0.00002649042],"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":[0.000196329,0.0002872419,0.05067772,0.00008833142,0.00003153413,0.000600837,0.0004360515,0.7921975,0.1198806,0.01309047,0.001056565,0.02145681],"study_design_scores_gemma":[0.000006924112,0.00008918383,0.02629058,0.000006001333,0.00001050444,0.00004358219,0.000188072,0.9626873,0.009105556,0.0009187159,0.0006218386,0.00003170536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934937,0.000127169,0.05514153,0.00006312141,0.00002153529,0.0000699736,0.0006176182,0.0002862498,0.008735837],"genre_scores_gemma":[0.9964305,0.00007204826,0.002415742,0.000004641701,0.000004496301,0.00001136776,0.0002227257,0.000007350913,0.0008312135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361589,"threshold_uncertainty_score":0.02707332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054107008491697,"score_gpt":0.157399561137405,"score_spread":0.146858491052488,"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."}}