{"id":"W2075117937","doi":"10.1002/atr.105","title":"Error correction of arrival time prediction in real time bus information system","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrival time; Computer science; Real-time computing; Reduction (mathematics); Data mining; Transport engineering; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007045398,0.00008625822,0.0002022766,0.0003364927,0.0001004316,0.0000180536,0.00008969879,0.0001527894,0.00007056948],"category_scores_gemma":[0.00007772444,0.00008943821,0.00006830243,0.0004048831,0.00005603846,0.001797346,3.759108e-7,0.0002529172,0.00001228828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008214187,"about_ca_system_score_gemma":0.0001797242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001918322,"about_ca_topic_score_gemma":0.0004675365,"domain_scores_codex":[0.9984125,0.00006167615,0.0008557771,0.00007519291,0.000466836,0.0001279739],"domain_scores_gemma":[0.9984498,0.00006960586,0.000867534,0.00006355591,0.0004771347,0.00007236135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001022768,0.0001237945,0.03177295,0.0001058463,0.00003626747,0.00001097029,0.05844824,0.8629512,0.03209794,0.001474379,0.0002473124,0.01170833],"study_design_scores_gemma":[0.002500269,0.0003158082,0.971666,0.0003580473,0.0001082769,0.000008397797,0.01146764,0.008584309,0.00188237,0.00008514314,0.002807658,0.0002160214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928547,0.000005051943,0.002718837,0.00006113773,0.001651797,0.0001978245,0.00003952996,0.00005749895,0.002413681],"genre_scores_gemma":[0.9959128,0.00002763068,0.003583832,0.00000526441,0.000129448,0.000003572625,0.000187706,0.000007519543,0.0001422164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9398931,"threshold_uncertainty_score":0.3647184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005627117112963238,"score_gpt":0.2474565768191485,"score_spread":0.2418294597061852,"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."}}