{"id":"W99168133","doi":"","title":"The aging population and Natural Occurring Retirement Communities (NORCs); local government, healthy aging, and healthy-NORCs.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Healthy aging; Gerontology; Retirement community; Aging in place; Population ageing; Government (linguistics); Population; Meaning (existential); Psychology; Medicine; Environmental health","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":[0.0009845687,0.0001424949,0.0001325003,0.001040588,0.0008475237,0.000829172,0.0003182519,0.0005080875,0.005746322],"category_scores_gemma":[0.003237942,0.00005204921,0.0001153392,0.001757369,0.001379367,0.001006193,0.001104224,0.0006022204,0.0002227727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149078,"about_ca_system_score_gemma":0.003079482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03587125,"about_ca_topic_score_gemma":0.0613795,"domain_scores_codex":[0.9995162,0.0002703701,0.00001823232,0.0000346177,0.00007593605,0.00008466021],"domain_scores_gemma":[0.9976369,0.0004866505,0.0006655765,0.00004375494,0.0002992629,0.000867931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001210565,0.0004698433,0.6248344,0.001036786,0.00006572808,0.0006870709,0.01716406,0.0008901642,0.00009487978,0.1084539,0.08279935,0.1633828],"study_design_scores_gemma":[0.00002519882,0.0001908776,0.8615626,0.001187435,0.00006075774,0.0008307454,0.04120902,0.001032217,0.00006442683,0.02080932,0.07299509,0.00003228339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8051888,0.03480614,0.0008064132,0.07454555,0.0007502811,0.00009260535,0.001433303,0.00003733603,0.08233944],"genre_scores_gemma":[0.9914355,0.004889833,0.0002651584,0.000840273,0.000194106,0.0000351584,0.000177871,0.000002339383,0.002159788],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03587125,"threshold_uncertainty_score":0.07132494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024545554980949,"score_gpt":0.2899548733915969,"score_spread":0.2654093184106479,"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."}}