{"id":"W2096339969","doi":"10.1002/atr.1206","title":"Users' views on current and future real‐time bus information systems","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Public transport; Binary logit model; Real-time data; Transport engineering; Ordered logit; Travel time; Transit (satellite); Computer science; Service (business); Arrival time; Statistics; Engineering; Business; World Wide Web; Marketing; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148503,0.00009072014,0.0001594508,0.0001535647,0.0001751297,0.00004066564,0.00005728471,0.00007079453,0.00001532172],"category_scores_gemma":[0.00001866852,0.0000805301,0.00004985098,0.0001956063,0.00003079991,0.002336057,2.742032e-7,0.0001394664,0.000008950481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005356354,"about_ca_system_score_gemma":0.00005868799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002733264,"about_ca_topic_score_gemma":0.0000256386,"domain_scores_codex":[0.9988235,0.0000659124,0.0004902398,0.00005321998,0.000404685,0.0001624957],"domain_scores_gemma":[0.9989517,0.00005194584,0.0005472623,0.0000487006,0.0002536431,0.0001468018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001140924,0.0004140457,0.06347939,0.000386203,0.00009131545,0.000007746362,0.3796732,0.25984,0.0006492936,0.07516855,0.002188124,0.2169612],"study_design_scores_gemma":[0.001247726,0.0001719186,0.4813487,0.0002360397,0.000103353,0.000003068627,0.01653433,0.0000536322,0.00004634136,0.00007670875,0.4999457,0.0002324164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861924,0.001968557,0.004807917,0.0006221835,0.003906883,0.0004130286,0.0000408054,0.00006960212,0.001978608],"genre_scores_gemma":[0.9910044,0.005754867,0.002140118,0.00003992699,0.0008804918,0.000005111487,0.0001221437,0.000008452535,0.00004446685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4977576,"threshold_uncertainty_score":0.3283922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133120776363481,"score_gpt":0.2902327013785745,"score_spread":0.2769206237422264,"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."}}