{"id":"W3044272882","doi":"10.1007/s12469-020-00238-w","title":"Evaluation of bus bridging scenarios for railway service disruption management: a users’ delay modelling tool","year":2020,"lang":"en","type":"article","venue":"Public Transport","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"","keywords":"Bridging (networking); Public transport; Transport engineering; Queueing theory; Service (business); Quality of service; Computer science; Engineering; Transit (satellite); Computer network","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":[0.001779958,0.001331168,0.0007407774,0.001642664,0.0005606958,0.001491266,0.001356114,0.001665908,0.004005713],"category_scores_gemma":[0.004867216,0.0005748223,0.001042627,0.001421571,0.0003823265,0.001470812,0.000701889,0.0009301246,0.0003848073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393313,"about_ca_system_score_gemma":0.001571164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03187455,"about_ca_topic_score_gemma":0.01883464,"domain_scores_codex":[0.9992273,0.0004280863,0.00003799894,0.00008399375,0.0001165087,0.0001060969],"domain_scores_gemma":[0.99643,0.002614602,0.0001724472,0.0001897785,0.0004297261,0.0001633901],"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":[0.00008561144,0.0001181623,0.0009691412,0.0000318308,0.00002294878,0.00004160623,0.00004725699,0.9940702,0.0003665015,0.0009729752,0.0002977173,0.002975953],"study_design_scores_gemma":[0.00001482149,0.00006294333,0.0003589974,0.000006572302,0.00001568189,0.000007473805,0.00006339153,0.9984214,0.0003811204,0.0003441557,0.000317313,0.000006180775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327966,0.0001314225,0.04828919,0.0002679536,0.00004240442,0.0002543965,0.002103252,0.0005042554,0.01561056],"genre_scores_gemma":[0.9855877,0.00007002726,0.01169753,0.00001552416,0.000006349376,0.0001178804,0.0009132384,0.00004964331,0.001542019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03187455,"threshold_uncertainty_score":0.06337804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09160856715805758,"score_gpt":0.3065273603605956,"score_spread":0.214918793202538,"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."}}