{"id":"W2008587895","doi":"10.1109/cisis.2014.78","title":"A Dynamic User Interface for Transit Tracking Applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; User interface; Transit (satellite); Context (archaeology); Interface (matter); User interface design; Web application; Human–computer interaction; World Wide Web; Public transport; Engineering; Transport engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001205541,0.00006642386,0.00007326288,0.00003712124,0.0001085772,0.00008542807,0.0005497157,0.0000310066,0.00001354837],"category_scores_gemma":[0.000004361912,0.00006005508,0.00005088317,0.0001631566,0.00001514447,0.000170865,0.00003286538,0.00004035584,0.0000897782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293034,"about_ca_system_score_gemma":0.00001448193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005726456,"about_ca_topic_score_gemma":0.00003518236,"domain_scores_codex":[0.9994019,0.000009858135,0.0001272522,0.0002588861,0.00006146372,0.0001406364],"domain_scores_gemma":[0.9992855,0.00009766275,0.00002787476,0.0004887036,0.00005133104,0.00004899113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[9.18366e-7,0.00005468365,0.00002423192,0.00001281507,0.000006701546,1.730782e-8,0.0001463718,0.0003052018,0.005398407,0.7686707,0.000967991,0.224412],"study_design_scores_gemma":[0.0002379064,0.00003628527,0.0003872003,0.000004627048,0.000007315869,0.000003185706,0.00001531683,0.4344832,0.004964726,0.02114081,0.5385646,0.0001548696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004888005,0.00001609745,0.9922611,0.001976164,0.00002766826,0.0005388829,0.00000204956,0.0002091311,0.004480127],"genre_scores_gemma":[0.8021798,0.00000280288,0.1952411,0.00037428,0.000019255,0.0009825291,0.000003060447,0.000006681852,0.001190553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8016909,"threshold_uncertainty_score":0.2448975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113199127636112,"score_gpt":0.2712665649023902,"score_spread":0.2601345736260291,"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."}}