{"id":"W572037048","doi":"","title":"Bluetooth Sensors Data Versus GPS-Based Data, Measuring Travel Time Reliability on Freight Transportation Corridors in the City of Calgary, Alberta, A Comparative Study","year":2014,"lang":"en","type":"article","venue":"European Transport Conference 2014Association for European Transport (AET)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Reliability (semiconductor); Transport engineering; Bluetooth; Truck; Data collection; Computer science; Induction loop; Automatic vehicle location; Real-time computing; Engineering; Telecommunications; Wireless; Automotive 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":[0.00115459,0.0005005376,0.0002871819,0.004552145,0.0007962036,0.001265578,0.0008625741,0.0003136601,0.0008691997],"category_scores_gemma":[0.002906593,0.0002341983,0.0003353992,0.0068783,0.0005794256,0.0005160123,0.0004557399,0.0003179892,0.0002101859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00638449,"about_ca_system_score_gemma":0.002839271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.902734,"about_ca_topic_score_gemma":0.9449365,"domain_scores_codex":[0.9988346,0.000108446,0.00005751906,0.0001584187,0.0007006608,0.0001404945],"domain_scores_gemma":[0.9964337,0.000771484,0.0003776096,0.000126802,0.002156158,0.0001342022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004452204,0.0001120706,0.9300973,0.0002143061,0.0001732573,0.0004677984,0.002704198,0.008268783,0.002278411,0.0003837856,0.001518249,0.05333675],"study_design_scores_gemma":[0.000008152686,0.0001492986,0.9860741,0.00004047661,0.0001050771,0.0001040019,0.005078939,0.006028169,0.0008879935,0.00003659084,0.001463241,0.00002401696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934978,0.0004170533,0.0006370175,0.00006040396,0.000008018714,0.00002894421,0.001069463,0.00002977132,0.004251486],"genre_scores_gemma":[0.9954019,0.0004579669,0.001064868,0.00001988822,0.000007624833,0.00001227982,0.001324567,0.000008295942,0.001702632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09726596,"threshold_uncertainty_score":0.1956775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07576885922594478,"score_gpt":0.2620928536079157,"score_spread":0.1863239943819709,"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."}}