{"id":"W421709739","doi":"","title":"Development and Deployment of GIS Tools to Facilitate Transit Network Design and Operational Evaluation","year":2010,"lang":"en","type":"article","venue":"Journal of the Urban and Regional Information Systems Association","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Computer science; Merge (version control); GIS applications; Transport engineering; Flow network; Software deployment; Geocoding; Population; Transit (satellite); Public transport; Geography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00364126,0.00006083258,0.0001246141,0.00008131803,0.000338166,0.00013708,0.00005459601,0.00008611743,0.000003462855],"category_scores_gemma":[0.0002197064,0.00004530071,0.0000245029,0.0001341762,0.00003315604,0.0008027785,0.000005044577,0.00009886838,7.166382e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009953917,"about_ca_system_score_gemma":0.0002378719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000647144,"about_ca_topic_score_gemma":0.00007866277,"domain_scores_codex":[0.9984481,0.0001843798,0.0005283665,0.00004697654,0.0007048717,0.00008724435],"domain_scores_gemma":[0.9984269,0.0001752853,0.0006206981,0.00003327335,0.0006714535,0.00007245827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002854105,0.00006855998,0.09090382,0.0001351055,0.0003460713,3.671787e-7,0.3423707,0.476778,0.0007095931,0.03851841,0.02782615,0.0220578],"study_design_scores_gemma":[0.002634123,0.0001614252,0.5244443,0.0004623326,0.0002024546,0.00002072845,0.01702721,0.03017787,0.0001811992,0.0003693134,0.4239236,0.000395389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561925,0.0002757508,0.03712798,0.004160999,0.0009043964,0.0008949758,0.000013769,0.00001287419,0.0004167882],"genre_scores_gemma":[0.9919546,0.00005074652,0.007466418,0.0001691003,0.0001283229,0.00001038932,0.0000138536,0.000002706208,0.0002038155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4466001,"threshold_uncertainty_score":0.2600934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06551601233546304,"score_gpt":0.2673155109555516,"score_spread":0.2017994986200885,"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."}}