{"id":"W648111471","doi":"","title":"Freeway Travel Time Prediction and Route Recommendation via Cell Phone","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Testbed; Phone; The Internet; Travel time; Real-time computing; Wireless; Real-time data; Interface (matter); Service (business); Transport engineering; Traffic congestion; Computer network; Telecommunications; Engineering; World Wide Web","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":[0.0003693894,0.0004888293,0.0005303978,0.001239023,0.0002543076,0.0005352634,0.0006444118,0.0006570084,0.003472162],"category_scores_gemma":[0.00266428,0.0002510872,0.0003108777,0.0009735507,0.0001169519,0.000955813,0.0002157473,0.0004561585,0.001174418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896692,"about_ca_system_score_gemma":0.0006226152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02918296,"about_ca_topic_score_gemma":0.0446857,"domain_scores_codex":[0.9997328,0.00006824401,0.00001088713,0.00007315777,0.00007801184,0.00003690044],"domain_scores_gemma":[0.9991523,0.0004427155,0.00006780954,0.00007340152,0.0002125652,0.00005124628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008904748,0.0004339459,0.03332908,0.0001281147,0.0001368906,0.0001550654,0.0001624916,0.254702,0.005059752,0.002440776,0.0107143,0.6918471],"study_design_scores_gemma":[0.00002200106,0.00008318655,0.005268469,0.000009316384,0.00002416793,0.00004025168,0.00003862543,0.989648,0.002238827,0.0009104265,0.001699283,0.00001740774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3407731,0.0005991217,0.6414391,0.0005574228,0.0001762821,0.0001968331,0.00195878,0.004645751,0.009653675],"genre_scores_gemma":[0.8420547,0.0003021691,0.1498809,0.00006190876,0.0000796798,0.0001223347,0.001022805,0.00007729117,0.006398153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02918296,"threshold_uncertainty_score":0.05802619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870814263311337,"score_gpt":0.2834404505388158,"score_spread":0.2647323079057025,"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."}}