{"id":"W2024070211","doi":"10.3141/2078-09","title":"Simulation Framework for Analysis of Elderly Mobility Policies","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Toronto","keywords":"Sustainability; Population; Policy analysis; Transportation planning; Transport engineering; Process (computing); Population ageing; License; Policy development; Transport policy; Environmental economics; Business; Computer science; Public transport; Economics; Engineering; Political science; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0016969,0.000938855,0.001084873,0.001055244,0.000721447,0.001637722,0.001956118,0.001600474,0.01286577],"category_scores_gemma":[0.004597943,0.0004921966,0.001388579,0.001026307,0.0005679955,0.0009962295,0.001338791,0.00131932,0.00107466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119692,"about_ca_system_score_gemma":0.003415161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03226982,"about_ca_topic_score_gemma":0.01452648,"domain_scores_codex":[0.9991224,0.0004905888,0.00005330664,0.00009374273,0.0001424207,0.00009746642],"domain_scores_gemma":[0.9984764,0.0009064574,0.0001082045,0.00007302779,0.0003505306,0.00008532962],"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":[0.00001676257,0.00002460901,0.0002794857,0.00002198088,0.00001824376,0.0000443324,0.00003073438,0.9567658,0.0001302613,0.04013379,0.0006284887,0.001905574],"study_design_scores_gemma":[0.00001284056,0.000008315962,0.00004510593,0.00000705638,0.000005494603,0.000005608631,0.00001394468,0.9899776,0.00004025671,0.007909913,0.001969442,0.000004352454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01917761,0.0004208502,0.9467962,0.0006881332,0.0001418154,0.0004519341,0.001518989,0.0008801789,0.02992426],"genre_scores_gemma":[0.5361484,0.001436141,0.4317711,0.0002662631,0.0001582964,0.003165937,0.002800431,0.000282607,0.02397076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03226982,"threshold_uncertainty_score":0.06416398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996967059364703,"score_gpt":0.4824482748245367,"score_spread":0.2827515688880664,"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."}}