{"id":"W599642763","doi":"","title":"Calgary's Traveller Information System","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Information system; Variety (cybernetics); Transport engineering; Public transport; World Wide Web; Intelligent transportation system; Computer science; Engineering; Computer security; Telecommunications","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":[0.000955496,0.0008964416,0.0007941728,0.003946903,0.002049112,0.004759395,0.002129698,0.001016526,0.1286271],"category_scores_gemma":[0.004430645,0.0004480231,0.0002859519,0.005043258,0.0002810538,0.002156915,0.003137775,0.001302478,0.08378264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005267574,"about_ca_system_score_gemma":0.0065219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3396194,"about_ca_topic_score_gemma":0.2602716,"domain_scores_codex":[0.9988428,0.0001017008,0.0001215948,0.0002746565,0.0004961571,0.0001629808],"domain_scores_gemma":[0.996111,0.0002855693,0.0001578279,0.0006001642,0.002432463,0.0004130367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001362626,0.00004725125,0.002526809,0.0001457804,0.00001396284,0.0001360388,0.0003236865,0.0002979055,0.00063361,0.001844006,0.9010158,0.09287883],"study_design_scores_gemma":[0.00005078437,0.00002724614,0.007218657,0.0001205976,0.00001390063,0.0000689678,0.0003323692,0.002022927,0.0006696281,0.0005137101,0.9889063,0.00005502701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01697316,0.001455062,0.01152728,0.00311752,0.0007650318,0.002328575,0.2410056,0.05946647,0.6633614],"genre_scores_gemma":[0.08577275,0.002772854,0.02930424,0.004914516,0.0003799016,0.001845934,0.4823319,0.004131762,0.3885462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6603806,"threshold_uncertainty_score":0.6752852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004126439413243952,"score_gpt":0.1520546294369127,"score_spread":0.1479281900236687,"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."}}