{"id":"W2148796839","doi":"","title":"Information provision and driver compliance to advanced traveller information system application: case study on the interaction between variable message sign and other sources of traffic updates in Calgary, Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Compliance (psychology); Computer science; Sign (mathematics); Computer security; Transport engineering; Information system; Telecommunications; Operations research; Engineering; Psychology; Mathematics; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002998846,0.0002631254,0.0003203954,0.0008353979,0.004139376,0.002047745,0.00137092,0.001206007,0.001465337],"category_scores_gemma":[0.01308024,0.0002989102,0.0002829023,0.001320919,0.0009140949,0.0007628872,0.0009980929,0.000954468,0.0002495188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01420288,"about_ca_system_score_gemma":0.01756067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9169051,"about_ca_topic_score_gemma":0.9498549,"domain_scores_codex":[0.9962333,0.001298852,0.0002184825,0.0002586315,0.001235935,0.0007548235],"domain_scores_gemma":[0.9892471,0.004560204,0.0008442315,0.0004093696,0.004241016,0.0006980416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008371731,0.004339579,0.7598725,0.0002866488,0.0001715688,0.006279183,0.1148364,0.007460099,0.005160826,0.00136699,0.0060245,0.09336452],"study_design_scores_gemma":[0.0001277162,0.001333653,0.7512842,0.0001205682,0.0002136461,0.0007991389,0.2016074,0.02291804,0.003854131,0.0002863788,0.01730593,0.0001491675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99694,0.00003516231,0.0001508221,0.0002378154,0.000003784792,0.00009690504,0.00006236049,0.00001821379,0.002454862],"genre_scores_gemma":[0.9968507,0.00006784937,0.0005191143,0.00006309714,0.000001915606,0.00002651901,0.00008300332,0.000007291163,0.00238065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08309489,"threshold_uncertainty_score":0.1671684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462363762674092,"score_gpt":0.2131995473828847,"score_spread":0.1985759097561438,"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."}}