{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003512,0.0004502162,0.000443311,0.00160838,0.0007165645,0.0002157459,0.0003902268,0.0003894042,0.0003577021],"category_scores_gemma":[0.00004101736,0.0005055852,0.000145552,0.001721838,0.0004533769,0.001132885,0.00001364447,0.001443039,0.0001923541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695713,"about_ca_system_score_gemma":0.000101637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004765354,"about_ca_topic_score_gemma":0.004111732,"domain_scores_codex":[0.9939354,0.0004866743,0.001174557,0.0008973989,0.002159629,0.001346359],"domain_scores_gemma":[0.9974574,0.0003825554,0.000111044,0.0004179634,0.001182397,0.0004486662],"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":[0.001463504,0.001624092,0.0575107,0.003151431,0.0003987578,0.0002334053,0.009917946,0.01970349,0.1892145,0.006718222,0.641127,0.06893693],"study_design_scores_gemma":[0.004195467,0.0008731477,0.8095883,0.000293773,0.0001158851,0.000002092617,0.003565108,0.05968491,0.03361174,0.002112717,0.08472741,0.001229445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578592,0.0005135439,0.09756717,0.001565552,0.0005383521,0.003942684,0.002100665,0.006852461,0.02906037],"genre_scores_gemma":[0.9909572,0.000847482,0.003142226,0.00003458271,0.0002927145,0.0005677406,0.002672232,0.0001413099,0.001344532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7520776,"threshold_uncertainty_score":0.9997396,"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."}}