{"id":"W3116211737","doi":"10.3390/ijerph18010133","title":"Developing Age-Friendly Cities and Communities: Eleven Case Studies from around the World","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"Social Sciences and Humanities Research Council of Canada; New Zealand Government; Economic and Social Research Council; Public Health Agency of Canada","keywords":"Developing country; Work (physics); Environmentally friendly; Economic growth; Developed country; User Friendly; Political science; Business; Environmental health; Medicine; Engineering; Population; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002027308,0.00006960045,0.0001476312,0.000121989,0.001186268,0.0002787824,0.0002742263,0.00001809914,0.00007146923],"category_scores_gemma":[0.0003482451,0.00004992603,0.00002495134,0.0000995457,0.001028093,0.0003545457,0.0002117979,0.0003353568,0.000002049459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843593,"about_ca_system_score_gemma":0.0002879965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009160949,"about_ca_topic_score_gemma":0.03440646,"domain_scores_codex":[0.9979745,0.0005924678,0.0002851578,0.00008463484,0.0008072112,0.000256009],"domain_scores_gemma":[0.9983375,0.001117043,0.0001473239,0.00004766953,0.0001093002,0.0002411296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004620598,0.00007558871,0.02929359,0.00001598117,0.0004117272,0.0003964073,0.9234771,8.425832e-7,0.000006798661,0.01667621,0.008195541,0.02140399],"study_design_scores_gemma":[0.0004680585,0.0002520891,0.02693564,0.00006379486,0.000004549956,0.0001067913,0.6301513,0.0000188426,0.000003678927,0.01040132,0.3314954,0.00009850692],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881389,0.006309176,0.0001100808,0.1048106,0.0001323601,0.00009391846,0.00003568688,0.000004299496,0.0003648996],"genre_scores_gemma":[0.970691,0.02652596,0.0002715871,0.001534247,0.0007189866,0.000003742995,0.000004360929,0.000004706327,0.0002454076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232999,"threshold_uncertainty_score":0.9974371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138856638883625,"score_gpt":0.4409596326957383,"score_spread":0.2270739688073759,"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."}}