{"id":"W4415743927","doi":"10.1109/iv68685.2025.00046","title":"Information Visualization for Transportation Analytics","year":2025,"lang":"","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Visual analytics; Visualization; Analytics; Public transport; Data visualization; Transit (satellite); Information visualization; Information system; Transportation industry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005612884,0.002452266,0.001477387,0.005476723,0.001289625,0.008853123,0.002315986,0.00216077,0.02157884],"category_scores_gemma":[0.02127568,0.001037695,0.001578707,0.007192739,0.001292434,0.008652567,0.004895918,0.003225317,0.007950926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015815,"about_ca_system_score_gemma":0.001691938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004548003,"about_ca_topic_score_gemma":0.003021655,"domain_scores_codex":[0.9949846,0.00230627,0.0004356642,0.0006753629,0.001438877,0.0001592196],"domain_scores_gemma":[0.9869606,0.006221234,0.0006657179,0.003476684,0.002231085,0.000444669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002103022,0.0001251067,0.001809158,0.002016926,0.0003188223,0.0003117266,0.00107581,0.01249986,0.003944023,0.2835701,0.232906,0.4612122],"study_design_scores_gemma":[0.00006576838,0.00005356164,0.000963057,0.0008746284,0.00009669162,0.0003869867,0.0004525731,0.08305872,0.003738106,0.4425645,0.467638,0.0001074624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002266169,0.009911696,0.9105301,0.008040665,0.001097159,0.0002982999,0.007667514,0.03603136,0.02415709],"genre_scores_gemma":[0.07500569,0.01001054,0.8905158,0.001455993,0.001074989,0.0006055795,0.01185568,0.003428956,0.006046812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02157884,"threshold_uncertainty_score":0.07218844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984329256737681,"score_gpt":0.3280165750014089,"score_spread":0.3081732824340321,"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."}}