{"id":"W4394865833","doi":"10.1016/j.jth.2024.101807","title":"Older adults’ staying at home in greater Tokyo: Association with population density and roles of car ownership and public transport","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Odds ratio; Demography; Odds; Confidence interval; Logistic regression; Metropolitan area; Public transport; Car ownership; Population; Population density; Medicine; Gerontology; Geography; Environmental health; Sociology; Transport 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":[0.0003852704,0.0003683223,0.0003251415,0.001009068,0.000797072,0.00108774,0.0005434593,0.0005913884,0.002946322],"category_scores_gemma":[0.001687335,0.0004010077,0.000973483,0.001817796,0.0004457834,0.0009101632,0.001070813,0.0009266872,0.0002899114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005830773,"about_ca_system_score_gemma":0.0006839217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07992195,"about_ca_topic_score_gemma":0.1356697,"domain_scores_codex":[0.999679,0.00005806524,0.00006709401,0.00006067598,0.00003937721,0.00009584943],"domain_scores_gemma":[0.9982858,0.0001360633,0.0007148255,0.00006497046,0.0002002171,0.0005981209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002439117,0.00002767144,0.9989849,0.000005330202,0.00003731609,0.00005118173,0.0004122406,0.000008439949,0.00004596607,0.000008618601,0.00005769012,0.0003363387],"study_design_scores_gemma":[0.000001007772,0.00002201477,0.9979792,0.000003461789,0.00001749467,0.00004409966,0.001811601,0.00003823418,0.000006044525,0.000006600703,0.00006786558,0.000002370814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992965,0.0001186343,0.00001722765,0.00008185435,0.000007339569,0.000002601668,0.0001715189,0.000001690193,0.0003025258],"genre_scores_gemma":[0.9992357,0.0001041794,0.000033909,0.00003624279,0.00001381934,0.0000041097,0.0002321886,0.000001521957,0.0003383274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07992195,"threshold_uncertainty_score":0.1589136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115250785856835,"score_gpt":0.2803672399973116,"score_spread":0.2592147321387432,"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."}}