{"id":"W4312203900","doi":"10.1016/j.jtrangeo.2022.103508","title":"The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches","year":2022,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Transport engineering; Public transport; Transit (satellite); Measure (data warehouse); Computer science; Built environment; Transportation planning; Bus rapid transit; Psychological intervention; Engineering; Data mining; Civil engineering; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0488558,0.001027562,0.0014671,0.009892466,0.001173064,0.006153689,0.002457931,0.001696365,0.003233729],"category_scores_gemma":[0.1646879,0.0004948043,0.00251054,0.010897,0.003577932,0.00775156,0.00578449,0.001505994,0.000225731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007020413,"about_ca_system_score_gemma":0.004360262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219325,"about_ca_topic_score_gemma":0.01770547,"domain_scores_codex":[0.9348413,0.04889577,0.001802528,0.002118886,0.01046372,0.001877713],"domain_scores_gemma":[0.6439235,0.3226005,0.01235942,0.005996406,0.01245733,0.002662848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008530263,0.00327843,0.435873,0.002356248,0.002597077,0.000337268,0.01006054,0.1111082,0.001391497,0.04124524,0.001240335,0.3819819],"study_design_scores_gemma":[0.0005883055,0.01411513,0.5578628,0.001030611,0.003940751,0.0004573944,0.02528307,0.3443545,0.00345005,0.04276361,0.005663939,0.0004898135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776759,0.001140454,0.01250406,0.0002726764,0.00002930866,0.0001701865,0.0001262076,0.00007024106,0.008010948],"genre_scores_gemma":[0.9949821,0.0002214515,0.004352769,0.00002205375,0.00001262963,0.00005138627,0.00005486298,0.00001716919,0.0002857035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0488558,"threshold_uncertainty_score":0.2583773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466478960709699,"score_gpt":0.3682876614040675,"score_spread":0.2216397653330976,"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."}}