{"id":"W2983493619","doi":"10.1093/geroni/igz038.3482","title":"DEVELOPING RURAL INSIGHTS FOR BUILDING SUSTAINABLE AGE-FRIENDLY COMMUNITIES INITIATIVES","year":2019,"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":"Trent University","funders":"","keywords":"Sustainability; Scope (computer science); Government (linguistics); Environmentally friendly; Business; Conceptualization; Sustainable community; Focus group; Public relations; Economic growth; Political science; Marketing; Economics; Computer science","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":[0.01009982,0.0008550663,0.0003949312,0.001993317,0.01271622,0.009734252,0.002148839,0.002089772,0.008661381],"category_scores_gemma":[0.006529731,0.0004398834,0.0004766363,0.00165194,0.009047139,0.006839371,0.008508112,0.003158995,0.0008048015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0223702,"about_ca_system_score_gemma":0.04885875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1420108,"about_ca_topic_score_gemma":0.3691438,"domain_scores_codex":[0.9939336,0.004269653,0.00008268415,0.0001830457,0.000493373,0.001037635],"domain_scores_gemma":[0.994848,0.002614378,0.000314775,0.0001797503,0.0007327297,0.001310427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005018162,0.0002830781,0.005792545,0.001064551,0.00002070371,0.002555404,0.7270408,0.0009166523,0.002360322,0.1550679,0.02523346,0.07961443],"study_design_scores_gemma":[0.00001059791,0.00007011763,0.002686366,0.0007489998,0.00001596661,0.0002833715,0.7221555,0.0004752475,0.0005111483,0.02349703,0.2495165,0.00002915927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3834498,0.006376006,0.07391505,0.1245377,0.0009713405,0.001544525,0.0004856793,0.0007727735,0.4079471],"genre_scores_gemma":[0.9202927,0.004805432,0.04706952,0.004403331,0.00007338345,0.0004683965,0.0001375692,0.0001514838,0.02259804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1420108,"threshold_uncertainty_score":0.2823684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369637052557391,"score_gpt":0.3367385982950971,"score_spread":0.3030422277695232,"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."}}