{"id":"W4230259748","doi":"10.18178/ijiee.2016.6.1.593","title":"Improving Travel Information Systems with the Assistance of GPS","year":2015,"lang":"en","type":"article","venue":"International Journal of Information and Electronics Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Computer science; Geography; Transport engineering; Geodesy; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002832747,0.000064755,0.00008007746,0.000203038,0.00001089406,0.00008694734,0.0001399157,0.00002606543,3.937618e-7],"category_scores_gemma":[0.00002532598,0.00004636961,0.00001974723,0.00007772299,0.000009309999,0.00151159,0.00001076355,0.0001344913,6.684203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005965,"about_ca_system_score_gemma":0.00003595934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003692214,"about_ca_topic_score_gemma":0.000001095736,"domain_scores_codex":[0.9992955,0.000003607743,0.0003273252,0.00001496792,0.0002812837,0.00007736921],"domain_scores_gemma":[0.9994462,0.00001340747,0.0001689127,0.00004205449,0.0002928066,0.00003669138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007754039,0.000008151073,0.0000507227,0.0001322816,0.000243922,0.000001212203,0.001751087,0.906847,0.0005519156,0.03213461,0.005773582,0.05242799],"study_design_scores_gemma":[0.0007573996,0.0001160488,0.0005129284,0.0000814997,0.00001929835,0.0001343487,0.0009184935,0.9204165,0.001328285,0.00001028121,0.0756015,0.000103408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01567491,0.0004083703,0.9817096,0.0001216511,0.0004118897,0.00007546519,0.000004183812,0.0001299855,0.001463968],"genre_scores_gemma":[0.9986446,0.0002054453,0.001066406,0.00003067631,0.00003785747,0.000003392498,0.000005064256,0.00000384826,0.000002695237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829697,"threshold_uncertainty_score":0.1890898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003086134844100133,"score_gpt":0.1721361954992075,"score_spread":0.1690500606551073,"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."}}