{"id":"W2591142659","doi":"10.1155/2017/5069824","title":"Bayesian Nonparametric Model for Estimating Multistate Travel Time Distribution","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Log-normal distribution; Markov chain Monte Carlo; Posterior probability; Dirichlet distribution; Dirichlet process; Computer science; Bayesian probability; Probability distribution; Mathematics; Statistics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005639113,0.00009806587,0.0002007886,0.00009210672,0.0009138215,0.0001005645,0.0001934224,0.00007957505,0.000009154741],"category_scores_gemma":[0.0003735189,0.0001010346,0.0001253669,0.000105185,0.00008417042,0.001136555,4.847599e-7,0.0001101995,0.000001312358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007038601,"about_ca_system_score_gemma":0.0001578762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004116476,"about_ca_topic_score_gemma":0.0001876658,"domain_scores_codex":[0.9988194,0.00002287384,0.0005132211,0.0001241461,0.0003307781,0.0001895674],"domain_scores_gemma":[0.9981083,0.0001106961,0.001055314,0.0001043639,0.0005103679,0.0001109329],"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":[0.0001707139,0.00004510482,0.001012151,0.00002307961,0.0000170882,0.000004582814,0.007410341,0.9737309,0.0003826802,0.001053649,0.00008088029,0.01606889],"study_design_scores_gemma":[0.002541895,0.000135763,0.1077426,0.0001651396,0.0001580246,0.00000139707,0.001156251,0.883319,0.000297234,0.003728139,0.0004974864,0.0002570013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07502718,0.00002279478,0.9236941,0.0003968696,0.0003611078,0.000222092,0.000152231,0.00002075308,0.0001028709],"genre_scores_gemma":[0.7429591,0.00003629645,0.2564202,0.0000127522,0.0001228467,0.000006045293,0.000204156,0.0000106239,0.0002279373],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6679319,"threshold_uncertainty_score":0.7028469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916432359041367,"score_gpt":0.3199269732163163,"score_spread":0.3007626496259027,"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."}}