{"id":"W7001969653","doi":"","title":"Local Travel Needs of Older Adults in Kingston, Ontario: An Examination of Where They are Going, How They are Getting There, and Their Quality of Life","year":2024,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality of life (healthcare); Downtown; Population; License; Suicide prevention; Travel survey; Poison control; Mental health; Older people","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":[0.0008262824,0.0002148877,0.000330462,0.0007864048,0.004511398,0.001489232,0.001051466,0.0004683732,0.001664251],"category_scores_gemma":[0.002144132,0.000307551,0.0003864333,0.002036785,0.00107124,0.0009008242,0.001719184,0.0005520515,0.000219888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02097617,"about_ca_system_score_gemma":0.02440414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9664705,"about_ca_topic_score_gemma":0.9932083,"domain_scores_codex":[0.9994614,0.00006896627,0.00006987032,0.00004344019,0.0001818191,0.0001746009],"domain_scores_gemma":[0.9982135,0.0001506859,0.000325816,0.00004009997,0.0008005979,0.0004693004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007222823,0.0001129691,0.6697984,0.0005553699,0.00003435239,0.001521864,0.3044436,0.0001019895,0.0008904947,0.0002399299,0.003437486,0.0187914],"study_design_scores_gemma":[0.000003603543,0.00006273064,0.6990287,0.000161917,0.00001475015,0.0001498266,0.2959729,0.00007641134,0.00004585955,0.00002370842,0.004442859,0.00001673389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951506,0.0004439073,0.0000431905,0.0007251721,0.000007599528,0.00009057698,0.0004099315,0.000003776349,0.00312521],"genre_scores_gemma":[0.9957208,0.001148179,0.0002425244,0.0003180683,0.000005624214,0.0000770351,0.0003013815,0.000003441937,0.002183022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03352952,"threshold_uncertainty_score":0.1521935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009848702907461919,"score_gpt":0.1940247202482978,"score_spread":0.1841760173408358,"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."}}