{"id":"W4404564271","doi":"10.1109/uemcon62879.2024.10754683","title":"Sidewalk-Based Accessible Pedestrian Routing","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Trinity Western University; Western University","funders":"","keywords":"Pedestrian; Computer science; Routing (electronic design automation); Pedestrian detection; Computer network; Transport engineering; Engineering","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":[0.0003205442,0.0005586154,0.0005387879,0.0009176806,0.0004019001,0.001057695,0.001167662,0.0004445738,0.01301125],"category_scores_gemma":[0.0009634821,0.0003130844,0.0004252059,0.0006820328,0.000225746,0.001037156,0.001751676,0.0003729945,0.00606671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781943,"about_ca_system_score_gemma":0.0006466706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722136,"about_ca_topic_score_gemma":0.004231933,"domain_scores_codex":[0.9996001,0.00009158282,0.00002676013,0.00009909285,0.0001176241,0.00006476647],"domain_scores_gemma":[0.9991647,0.0001120278,0.00006106489,0.0002681316,0.0003109616,0.0000830149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001601385,0.0006869571,0.009321808,0.0006519945,0.0002284248,0.0008326637,0.000921273,0.1213418,0.06245416,0.02315711,0.05390559,0.7248967],"study_design_scores_gemma":[0.0002306971,0.001276392,0.006667584,0.0001212561,0.0002056958,0.001523048,0.0004324581,0.8164222,0.05383144,0.01122693,0.1078018,0.0002605568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1771016,0.0005627738,0.7083282,0.000265437,0.0003867231,0.0006490758,0.003353698,0.03699882,0.07235365],"genre_scores_gemma":[0.783254,0.0004475769,0.1814284,0.0001256421,0.00005193944,0.0002074794,0.004261305,0.0005828494,0.02964081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01301125,"threshold_uncertainty_score":0.04352695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393413119213684,"score_gpt":0.285590498366265,"score_spread":0.2616563671741282,"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."}}