{"id":"W171464381","doi":"","title":"2008 Travel Time Study: Advances in System Performance Measurement","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th 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":"Transport engineering; Truck; Global Positioning System; Data collection; Travel time; Computer science; Christian ministry; Process (computing); Operations research; Engineering; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009242654,0.0004483906,0.0005424291,0.002150267,0.0005347677,0.000148714,0.000811206,0.00029636,0.0001508228],"category_scores_gemma":[0.0001212873,0.0004751552,0.0001332558,0.002499359,0.0003895555,0.001340541,0.00001228613,0.00274667,0.0002503222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697569,"about_ca_system_score_gemma":0.0002197394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189359,"about_ca_topic_score_gemma":0.02264486,"domain_scores_codex":[0.9906753,0.0005218881,0.001294447,0.0008988419,0.005011344,0.001598198],"domain_scores_gemma":[0.9964998,0.0002506712,0.00009026215,0.0006533143,0.002000967,0.000504943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004863611,0.006736454,0.4445261,0.01415721,0.0009233393,0.001872408,0.05868585,0.06103562,0.08397272,0.02781092,0.09449057,0.2009252],"study_design_scores_gemma":[0.003294459,0.001069244,0.923534,0.0005966532,0.00004398552,0.000001129136,0.01815091,0.017408,0.004460118,0.0001011341,0.03042321,0.0009171769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767023,0.0003528117,0.002727602,0.0002121208,0.0004931433,0.003882172,0.0001553975,0.003185423,0.01228907],"genre_scores_gemma":[0.9961632,0.0007350573,0.001127433,0.00001194353,0.0001596577,0.001377715,0.0001041055,0.0001187817,0.0002020419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4790079,"threshold_uncertainty_score":0.99977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991996478993719,"score_gpt":0.3140567953580833,"score_spread":0.2841368305681461,"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."}}