{"id":"W1883539311","doi":"10.11175/eastpro.2007.0.299.0","title":"Driving Environment Complexity of Mixed Traffic Flow: Its Measurement and Characteristics","year":2007,"lang":"en","type":"article","venue":"Tamkang University Institutional Repository (TKUIR)","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Flow (mathematics); Computer science; Mathematics","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":[0.0002227264,0.0001376924,0.0001717528,0.00009063362,0.000237999,0.00001146383,0.0001166642,0.00005965532,0.00001520737],"category_scores_gemma":[0.000009028182,0.0001615359,0.00005953409,0.00006882712,0.0002022559,0.0001251757,0.00005336582,0.0001064105,0.000007922569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765308,"about_ca_system_score_gemma":0.00003307253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008485857,"about_ca_topic_score_gemma":0.00002367815,"domain_scores_codex":[0.9990714,0.00001944503,0.0002016449,0.0001674035,0.0003502613,0.000189875],"domain_scores_gemma":[0.9996334,0.00002216833,0.00005132012,0.0001310377,0.00005034165,0.0001117695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004321349,0.001101901,0.005184874,0.00125689,0.001654717,0.001650028,0.002087,0.6371717,0.1849041,0.0696868,0.00178567,0.09308409],"study_design_scores_gemma":[0.003363256,0.0001544229,0.749941,0.0003086134,0.0004415014,0.0001050988,0.0007757486,0.07732892,0.009363643,0.00002647179,0.1571768,0.001014508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706388,0.0001981312,0.0226187,0.00005000446,0.0005061238,0.0001980774,0.00001951328,0.000159785,0.005610894],"genre_scores_gemma":[0.9989281,0.00005866106,0.0007396096,0.000005767038,0.00006410514,4.739414e-7,0.00001146675,0.000006819621,0.0001850206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7447561,"threshold_uncertainty_score":0.6587241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708732934804373,"score_gpt":0.162045120883117,"score_spread":0.1449577915350732,"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."}}