{"id":"W2029074290","doi":"10.1007/s12469-013-0061-0","title":"Variation in bus transit service: understanding the impacts of various improvement strategies on transit service reliability","year":2013,"lang":"en","type":"article","venue":"Public Transport","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Service (business); Schedule; Reliability (semiconductor); Transport engineering; Variation (astronomy); Smart card; Transit (satellite); Bus rapid transit; Public transport; Level of service; Automatic vehicle location; Engineering; Computer science; Telecommunications; Computer security; Business","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":[0.001717296,0.000449747,0.0006449067,0.0006691397,0.0002312607,0.0008734721,0.0008654589,0.000748891,0.0008562804],"category_scores_gemma":[0.007794301,0.0003299919,0.0006056565,0.001054019,0.0004509664,0.0009809495,0.0003044205,0.000765409,0.00009258918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487795,"about_ca_system_score_gemma":0.001149192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321958,"about_ca_topic_score_gemma":0.02115829,"domain_scores_codex":[0.9989348,0.0004884991,0.00004277464,0.0001413851,0.0002035057,0.0001890371],"domain_scores_gemma":[0.9964668,0.002157087,0.00053816,0.0001680044,0.0005569836,0.0001130802],"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":[0.0003527089,0.0002670832,0.04093768,0.00008237462,0.0001849966,0.0001265721,0.0001387082,0.9236948,0.00323769,0.006299745,0.0007166628,0.02396077],"study_design_scores_gemma":[0.00002072185,0.000414411,0.08293177,0.000009771717,0.0001219904,0.00005360844,0.0003337877,0.9097189,0.001164087,0.004546952,0.0006567075,0.00002720313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774904,0.0003345679,0.01877258,0.000540633,0.00001948981,0.00003498883,0.0002914286,0.00008457157,0.002431396],"genre_scores_gemma":[0.9989399,0.00005773243,0.0007376637,0.00001285129,0.000005871425,0.000003899171,0.00006336496,0.000006949732,0.0001717576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02321958,"threshold_uncertainty_score":0.04616886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868606193466109,"score_gpt":0.2627456808660802,"score_spread":0.2340596189314192,"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."}}