{"id":"W4254364547","doi":"10.21172/1.81.052","title":"Study &amp; analysis of an urban bus and metro route using vissim simulated data","year":2016,"lang":"en","type":"article","venue":"International Journal of Latest Trends in Engineering and Technology","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VisSim; Transport engineering; Computer science; Environmental science; Engineering; Intersection (aeronautics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009854805,0.0005871808,0.0004545366,0.001719786,0.0004926588,0.0005907509,0.0006416209,0.0007300997,0.002352541],"category_scores_gemma":[0.003254515,0.0003072576,0.001172268,0.001540514,0.0002238311,0.0005087218,0.0003152186,0.000601567,0.0003524517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506901,"about_ca_system_score_gemma":0.001026318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1401631,"about_ca_topic_score_gemma":0.1240248,"domain_scores_codex":[0.9995757,0.0001855466,0.00002275186,0.00008030573,0.00007084131,0.00006480685],"domain_scores_gemma":[0.9970096,0.001849795,0.0002379911,0.0002844596,0.0004899456,0.0001282779],"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":[0.0005491149,0.001577874,0.2884485,0.0002690717,0.000524543,0.0007121529,0.0004179012,0.6668659,0.002128303,0.002719495,0.003866134,0.03192104],"study_design_scores_gemma":[0.00003625277,0.0003559234,0.06168578,0.00001603225,0.00007874445,0.0001328656,0.000532745,0.9332339,0.001937308,0.0002741922,0.001685943,0.00003032171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954392,0.00005289455,0.001614842,0.000046882,0.000008325929,0.0000376798,0.00167745,0.00007963588,0.001043243],"genre_scores_gemma":[0.9924229,0.00005742508,0.004017335,0.00001067501,0.000004722782,0.00003619972,0.002567329,0.00002027704,0.0008632145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1401631,"threshold_uncertainty_score":0.2786945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873838052078771,"score_gpt":0.3579917342764848,"score_spread":0.3192533537556971,"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."}}