{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001336685,0.0001950432,0.0002619755,0.0001164943,0.00008196835,0.00003521361,0.0001377443,0.0001327512,0.0002294334],"category_scores_gemma":[0.000003553066,0.0001747569,0.00008706153,0.0001863804,0.00004010322,0.0008341073,0.000001769675,0.0001424061,0.000005282062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286169,"about_ca_system_score_gemma":0.00009451044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01604621,"about_ca_topic_score_gemma":0.06856636,"domain_scores_codex":[0.9982551,0.0000357035,0.0008128262,0.0001333237,0.0005621187,0.0002009807],"domain_scores_gemma":[0.9990126,0.00002918476,0.0003436745,0.0001703665,0.0003675402,0.00007658533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001974377,0.0002365828,0.1486946,0.00662864,0.001732834,0.000006404268,0.02433097,0.02011837,0.0141484,0.05662866,0.6735246,0.05375259],"study_design_scores_gemma":[0.001104243,0.00003687929,0.9724539,0.0002666476,0.0001458466,5.269158e-7,0.001248126,0.009241401,0.006017934,0.0001219774,0.00902635,0.0003361614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215053,0.00003765148,0.06608113,0.004445974,0.0008701473,0.001266108,0.0006036292,0.0005910735,0.004598973],"genre_scores_gemma":[0.9985763,0.00004440986,0.0003844732,0.0003545473,0.00002225512,0.00008321724,0.0003041575,0.00001512859,0.0002155104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8237593,"threshold_uncertainty_score":0.990506,"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."}}