{"id":"W627592587","doi":"","title":"Measuring, Describing and Modeling Travel Time Reliability","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Computer science; Cluster analysis; Travel time; Process (computing); Duration (music); Transport engineering; Task (project management); Kilometer; Operations research; Engineering","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":[0.001763199,0.0007964263,0.0003952885,0.00185003,0.000241102,0.001290759,0.0009436373,0.0007079036,0.0004987424],"category_scores_gemma":[0.01080872,0.0004512994,0.0006363759,0.001892667,0.000583954,0.001854576,0.0005438443,0.0007423168,0.0001896809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142124,"about_ca_system_score_gemma":0.001007613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02971449,"about_ca_topic_score_gemma":0.0128797,"domain_scores_codex":[0.9989869,0.0004093565,0.00007626144,0.0001968684,0.0002349237,0.00009563211],"domain_scores_gemma":[0.9943755,0.003569165,0.0009574088,0.0004201315,0.0006184321,0.00005945035],"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":[0.0000145537,0.00001643474,0.008293661,0.00003654628,0.00003115433,0.00003585096,0.0001132249,0.9689128,0.0005960545,0.005347429,0.0002201548,0.01638217],"study_design_scores_gemma":[0.000001107555,0.000009342861,0.001759775,0.000005619224,0.00000817784,0.00001646931,0.00002195674,0.9949378,0.0002327535,0.002694563,0.0003053945,0.000007079816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1789517,0.0004523154,0.8171911,0.0001967858,0.00002264341,0.00008199951,0.0004684521,0.0004895973,0.002145367],"genre_scores_gemma":[0.915644,0.0006035026,0.08192921,0.00001442569,0.00004727372,0.0001319156,0.0006294632,0.00009697115,0.0009031912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02971449,"threshold_uncertainty_score":0.0590831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07546869405523231,"score_gpt":0.3173288499970836,"score_spread":0.2418601559418512,"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."}}