{"id":"W7106098994","doi":"10.60918/16086","title":"Modelling accessibility to urban services using fuzzy logic : a comparative analysis of two methods","year":2003,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Fuzzy logic; Bridge (graph theory); Order (exchange); Service (business); Perception; Public transport; Level of service","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":[0.005991137,0.0008241742,0.0008949123,0.005118579,0.0005834275,0.002606513,0.001414214,0.001106375,0.002961415],"category_scores_gemma":[0.01257854,0.0004871489,0.001607625,0.003024116,0.0006193541,0.002368809,0.001014182,0.0006573369,0.0002016699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002809068,"about_ca_system_score_gemma":0.001505571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02509646,"about_ca_topic_score_gemma":0.02045057,"domain_scores_codex":[0.9971429,0.00179269,0.0001192037,0.0001670389,0.0006700922,0.0001080971],"domain_scores_gemma":[0.989707,0.008707286,0.0004161591,0.0003574848,0.0007099577,0.0001022627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006720035,0.0006424465,0.02276658,0.0008486791,0.0006619183,0.0002621859,0.002316552,0.5773325,0.001655234,0.07368118,0.00069375,0.3184669],"study_design_scores_gemma":[0.00005183967,0.000174252,0.00479247,0.0001629684,0.0001344746,0.00006745684,0.0008017443,0.9762805,0.0007338639,0.01452149,0.002215257,0.00006366435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2045105,0.002547037,0.772289,0.0004676164,0.00005076893,0.0003470133,0.0003058869,0.0002504859,0.01923173],"genre_scores_gemma":[0.7076069,0.002187283,0.2878837,0.00006500589,0.00003900092,0.0002752301,0.0002096504,0.00005996292,0.001673359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02509646,"threshold_uncertainty_score":0.04990077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744288844724195,"score_gpt":0.4638700914442542,"score_spread":0.2894412069718346,"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."}}