{"id":"W2899847229","doi":"10.1093/geroni/igy023.556","title":"ASSESSING THE RURAL BUILT ENVIRONMENT TO SUPPORT OLDER ADULTS MOBILITY AND SOCIAL INTERACTION","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"","keywords":"Built environment; Audit; Affect (linguistics); Aging in place; Focus group; Adaptation (eye); Social isolation; Business; Gerontology; Psychology; Geography; Medicine; Engineering; Marketing; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002486241,0.000302485,0.0002392934,0.001183675,0.001524936,0.001026383,0.0004806338,0.0002103332,0.001359353],"category_scores_gemma":[0.00482376,0.0001453788,0.0003345477,0.001147067,0.0003871041,0.0005707812,0.001801266,0.0003487468,0.0001775244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002131823,"about_ca_system_score_gemma":0.007579863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1293133,"about_ca_topic_score_gemma":0.4559924,"domain_scores_codex":[0.9988973,0.0005152698,0.0001077267,0.00005225106,0.0002484855,0.0001788397],"domain_scores_gemma":[0.9976005,0.0004583183,0.0003956196,0.0001000288,0.001035343,0.0004101191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007897103,0.000604173,0.7278742,0.0005568183,0.00007917924,0.0002881653,0.03337564,0.001017069,0.001138353,0.0005085782,0.004361149,0.2301177],"study_design_scores_gemma":[0.00001658657,0.0004547237,0.9387911,0.0002373079,0.00005230308,0.0001100503,0.04717579,0.001200184,0.0005234513,0.0004059526,0.01099599,0.00003663618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876536,0.0002723092,0.001968703,0.0004537702,0.00001924095,0.0006510584,0.0004304508,0.00004577831,0.008505283],"genre_scores_gemma":[0.9882917,0.0005632977,0.009042021,0.0001109641,0.000008183772,0.0004402178,0.0002245049,0.000005793519,0.001313432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1293133,"threshold_uncertainty_score":0.2571213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070467253983352,"score_gpt":0.3604573346901129,"score_spread":0.3297526621502794,"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."}}