{"id":"W2900103617","doi":"10.1093/geroni/igy023.033","title":"AGING IN PLACE IN URBAN SETTINGS: HOW TO BETTER UNDERSTAND CURRENT AND FUTURE LINKS BETWEEN PERSON AND ENVIRONMENT","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Flexibility (engineering); Aging in place; Built environment; Perspective (graphical); Affect (linguistics); Psychology; Life course approach; Gerontology; Sociology; Developmental psychology; Medicine; Engineering; Computer science","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":[0.007124113,0.0009964197,0.002149195,0.003391596,0.004121791,0.009881325,0.002327625,0.004970417,0.007139857],"category_scores_gemma":[0.01429685,0.0006584018,0.001426068,0.002572889,0.01148059,0.02884478,0.007680859,0.007562389,0.001094064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004382574,"about_ca_system_score_gemma":0.01380922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04972418,"about_ca_topic_score_gemma":0.07794638,"domain_scores_codex":[0.9980943,0.0009143082,0.0001324571,0.0002641756,0.0002528474,0.0003419912],"domain_scores_gemma":[0.9913648,0.003719309,0.0008779785,0.0007381462,0.00169327,0.001606507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008742403,0.0005318719,0.1045777,0.004972628,0.0003673612,0.001506287,0.1316101,0.002646997,0.0007633565,0.1515464,0.07002813,0.5313618],"study_design_scores_gemma":[0.00001957114,0.0002773543,0.09287053,0.007593834,0.0002349338,0.00106445,0.3049802,0.001317538,0.0004574953,0.299563,0.2913156,0.0003055024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0931465,0.1721994,0.03571137,0.6624186,0.005148388,0.0002659627,0.0009856743,0.0003914047,0.02973262],"genre_scores_gemma":[0.6721125,0.2371351,0.0484118,0.03204988,0.00272839,0.0006044127,0.000913565,0.0001197878,0.005924609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04972418,"threshold_uncertainty_score":0.0988695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115979240575594,"score_gpt":0.2411991959614111,"score_spread":0.2200394035556551,"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."}}