{"id":"W2056193625","doi":"10.3141/1760-14","title":"Potential Effects of Automatic Vehicle Location and Computer-Aided Dispatch Technology on Paratransit Performance: A Simulation Study","year":2001,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Paratransit; Automatic vehicle location; Reliability (semiconductor); CAD; Transport engineering; Public transport; Engineering; Service (business); Productivity; TRIPS architecture; Simulation; Computer science; Telecommunications; Engineering drawing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054125,0.0006979567,0.0005238184,0.0008611164,0.0004737335,0.000702404,0.0008669908,0.0009113624,0.002110252],"category_scores_gemma":[0.004111194,0.0003881847,0.000857269,0.0008836102,0.0006020255,0.0008685088,0.0005799698,0.0007513773,0.0001892011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016752,"about_ca_system_score_gemma":0.0009188329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928805,"about_ca_topic_score_gemma":0.01357842,"domain_scores_codex":[0.9992716,0.0003507475,0.00002419616,0.00005983253,0.0001162949,0.0001774451],"domain_scores_gemma":[0.9943073,0.004105803,0.0005490984,0.0002824524,0.0005547659,0.000200499],"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":[0.0002106647,0.0001590637,0.004676788,0.0000244265,0.00002214346,0.00009107294,0.00002859693,0.9915062,0.0008410594,0.0003814477,0.0001448635,0.001913698],"study_design_scores_gemma":[0.0000539206,0.0007055858,0.00347489,0.000006458645,0.00003417529,0.00004158734,0.00008028517,0.993561,0.001598757,0.0001998446,0.0002296852,0.00001368906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938539,0.00006330635,0.003091146,0.00007664863,0.000007298238,0.00004212755,0.0001947564,0.00004968366,0.002621115],"genre_scores_gemma":[0.9987522,0.0000530548,0.0007696571,0.000007920268,0.000001668702,0.00001892007,0.00008385252,0.000004488265,0.0003080985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01928805,"threshold_uncertainty_score":0.03835154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958272622603311,"score_gpt":0.3781783401513795,"score_spread":0.3385956139253464,"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."}}