{"id":"W655041936","doi":"","title":"DEVELOPMENT OF A PUBLIC TRANSIT INFORMATION SYSTEM: USE OF GIS AND ITS TECHNOLOGIES","year":2003,"lang":"en","type":"article","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Transit (satellite); Transport engineering; Public transport; Computer science; Schedule; Information system; Operations research; Geography; Engineering; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001521921,0.0004169823,0.0004590798,0.001903644,0.0005926972,0.001657251,0.0009913358,0.0003484267,0.009418122],"category_scores_gemma":[0.002752576,0.0003845998,0.0003916258,0.002649551,0.0003185567,0.001867009,0.0007741369,0.00058449,0.003483234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030913,"about_ca_system_score_gemma":0.00294599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447163,"about_ca_topic_score_gemma":0.007623991,"domain_scores_codex":[0.9991587,0.0002230365,0.00008527807,0.0001178444,0.0003630318,0.00005205899],"domain_scores_gemma":[0.9977017,0.0004367502,0.0001120467,0.0004151456,0.001195914,0.0001384882],"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":[0.0002367388,0.0002183466,0.009111549,0.000576718,0.0001016611,0.0005065419,0.001111452,0.03074947,0.02113977,0.02299114,0.06785892,0.8453977],"study_design_scores_gemma":[0.0001452,0.0003607431,0.01277517,0.0002593558,0.0002168457,0.0008072517,0.001001262,0.1803685,0.04523011,0.01071517,0.7479753,0.0001450869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05182244,0.0004127861,0.8373044,0.001218469,0.0002831217,0.001134161,0.01328741,0.0447139,0.04982337],"genre_scores_gemma":[0.206382,0.0007462638,0.7541959,0.0001680241,0.0001488241,0.0007403481,0.0193032,0.002308616,0.0160069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01447163,"threshold_uncertainty_score":0.03150678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05063758783977261,"score_gpt":0.2507854433555461,"score_spread":0.2001478555157735,"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."}}