{"id":"W2005392075","doi":"10.1016/j.tranpol.2009.01.002","title":"Transport mobility benefits and quality of life: A time-use perspective of elderly Canadians","year":2009,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":338,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Saint Mary's University","funders":"","keywords":"Quality of life (healthcare); Perspective (graphical); Independence (probability theory); Quality (philosophy); Index (typography); Travel behavior; Environmental economics; Gerontology; Psychology; Transport engineering; Computer science; Economics; Medicine; Engineering; Statistics; Mathematics","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":[0.0008901882,0.0003420628,0.0006085287,0.002268648,0.006030963,0.003315636,0.001054953,0.001314467,0.002738339],"category_scores_gemma":[0.002296454,0.0002079079,0.001013398,0.007818481,0.001721447,0.001128946,0.00102133,0.00162257,0.0001041829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04215227,"about_ca_system_score_gemma":0.03275113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943146,"about_ca_topic_score_gemma":0.997184,"domain_scores_codex":[0.9988393,0.00010553,0.00003584009,0.00005839605,0.0002431302,0.0007178232],"domain_scores_gemma":[0.9979787,0.0001435539,0.0002366952,0.00002693801,0.000848658,0.0007654866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005982835,0.000635766,0.8940721,0.0002989759,0.0003548467,0.0007317642,0.03220194,0.002306185,0.0004856168,0.02851704,0.009522248,0.03027523],"study_design_scores_gemma":[0.00005329657,0.000165124,0.9197606,0.0002956388,0.0002322989,0.0001685048,0.05920187,0.001497199,0.00008792123,0.002545564,0.01590428,0.00008765609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971447,0.004411317,0.0001313105,0.009356489,0.00004929742,0.00003200536,0.001936321,0.000003976896,0.01263233],"genre_scores_gemma":[0.9959404,0.001833009,0.0000870255,0.0006155851,0.00002511009,0.000009048163,0.0003611967,0.000002118075,0.001126621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04215227,"threshold_uncertainty_score":0.3058376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581294060916997,"score_gpt":0.3241362905708884,"score_spread":0.2883233499617184,"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."}}