{"id":"W2910379772","doi":"","title":"Identifying built barriers: Where do our most vulnerable older adults live in Ontario's mid-sized cities?","year":2018,"lang":"en","type":"book-chapter","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gerontology; Geography; Medicine","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":[0.0006188847,0.0003570876,0.0003345164,0.0009066905,0.006192682,0.004029819,0.00110929,0.001214757,0.007857658],"category_scores_gemma":[0.002003264,0.0002885077,0.0003817846,0.002553777,0.001885384,0.002637789,0.00250712,0.001553607,0.001027007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02244202,"about_ca_system_score_gemma":0.06064309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785076,"about_ca_topic_score_gemma":0.9956808,"domain_scores_codex":[0.9995394,0.00003348165,0.00001609228,0.00003831813,0.0001253744,0.0002474544],"domain_scores_gemma":[0.9992691,0.0000655983,0.0000816121,0.00001472573,0.0002409114,0.0003281843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005284523,0.00007641224,0.1803199,0.0007476466,0.00002907676,0.001143422,0.2814643,0.0001153015,0.0005344963,0.01859019,0.3036036,0.2133228],"study_design_scores_gemma":[0.000007598506,0.00002566833,0.300842,0.001861086,0.00004284745,0.0003115023,0.3966462,0.00008481925,0.0001088175,0.004377194,0.2956364,0.00005595068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.378997,0.04931078,0.00132078,0.2103537,0.001798961,0.0002227942,0.005166982,0.0001009395,0.3527281],"genre_scores_gemma":[0.7743257,0.05935975,0.002310357,0.01409746,0.0002337723,0.0002116924,0.001892521,0.00009521951,0.1474734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02244202,"threshold_uncertainty_score":0.162829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05986087980614963,"score_gpt":0.3311722529905956,"score_spread":0.2713113731844459,"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."}}