{"id":"W610994705","doi":"","title":"Travel behavior of low income older adults and development of an Accessibility calculator","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spouse; Neighbourhood (mathematics); Socioeconomic status; Car ownership; Multilevel model; Demography; Population; Travel behavior; Geography; Credence; Household income; Multinomial logistic regression; Psychology; Gerontology; Medicine; Public transport; Transport engineering; Sociology; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564855,0.0002637096,0.000295991,0.001930177,0.0002969115,0.0008913909,0.000387191,0.0002937087,0.002551034],"category_scores_gemma":[0.008995727,0.0002367018,0.0004928908,0.001264162,0.0001109064,0.0002859623,0.0004567126,0.000434842,0.0008586469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004568177,"about_ca_system_score_gemma":0.0006627048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682083,"about_ca_topic_score_gemma":0.0253776,"domain_scores_codex":[0.9993601,0.0002010275,0.000132566,0.00008396711,0.0001924016,0.00002983992],"domain_scores_gemma":[0.9959336,0.001456397,0.0007371897,0.0002235855,0.001408688,0.0002406159],"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":[0.0001963628,0.0004908278,0.9371071,0.0001278832,0.0000689297,0.00005978821,0.0003447728,0.0006648021,0.0004890606,0.0001056819,0.001133916,0.05921087],"study_design_scores_gemma":[0.00003659094,0.0005745139,0.9866129,0.0000849338,0.0000851903,0.0001867761,0.0003660619,0.008575234,0.0008053562,0.0001027032,0.002549237,0.00002057618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979352,0.0002657327,0.007480111,0.0002068759,0.00002817957,0.0008051972,0.00288147,0.0005408616,0.008439562],"genre_scores_gemma":[0.9521295,0.0003851603,0.04007359,0.00007313357,0.00001452931,0.0007590859,0.003107782,0.00003177933,0.003425292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01682083,"threshold_uncertainty_score":0.03344584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08053872285860525,"score_gpt":0.4222358140437282,"score_spread":0.341697091185123,"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."}}