{"id":"W1587664141","doi":"10.1177/0361198105192700129","title":"Assessing Transit Level of Service along Travel Corridors","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Stantec (Canada)","funders":"","keywords":"Transit (satellite); Transport engineering; Service (business); Service quality; Level of service; Public transport; Bus rapid transit; Quality (philosophy); Travel time; Service level; Computer science; Business; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002840216,0.0004026842,0.0003758348,0.002348544,0.0005752229,0.001608023,0.0007186578,0.0006457437,0.001626711],"category_scores_gemma":[0.01157717,0.0002238407,0.0003893505,0.003263389,0.0008420496,0.001279577,0.000828933,0.0005257635,0.0002171548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002594565,"about_ca_system_score_gemma":0.001574929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04054802,"about_ca_topic_score_gemma":0.04159856,"domain_scores_codex":[0.9961746,0.001585093,0.0001866853,0.0002603857,0.001409523,0.0003837612],"domain_scores_gemma":[0.992802,0.003159823,0.001072998,0.0003253605,0.002266959,0.0003727737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001091783,0.0004296144,0.6910954,0.0003653513,0.000243763,0.001802005,0.004710351,0.1972435,0.01089155,0.006703719,0.001271267,0.08415174],"study_design_scores_gemma":[0.0001036192,0.002768979,0.5712625,0.000119697,0.000215471,0.001161971,0.01599345,0.3869089,0.01096983,0.002993488,0.007339431,0.0001627155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909921,0.00004617959,0.005303545,0.00007381302,0.000003529507,0.00008993274,0.000384086,0.00004724816,0.003059637],"genre_scores_gemma":[0.9958124,0.00003378707,0.003498815,0.000003467779,0.000001401798,0.00001749984,0.0002301158,0.000006655613,0.0003959275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04054802,"threshold_uncertainty_score":0.08062404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2678520388558528,"score_gpt":0.4543490128367907,"score_spread":0.1864969739809378,"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."}}