{"id":"W4390080497","doi":"10.1093/geroni/igad104.3419","title":"IMPLEMENTATION &amp; SUSTAINABILITY OF AGETECH TO SUPPORT AGING IN PLACE: PRACTICAL RECOMMENDATIONS FOR POLICYMAKERS","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; National Research Council Canada","funders":"","keywords":"Aging in place; Sustainability; Health care; Business; Value (mathematics); Key (lock); Quality of life (healthcare); Quality (philosophy); Perspective (graphical); Process management; Public relations; Marketing; Knowledge management; Nursing; Psychology; Medicine; Gerontology; Economic growth; Political science; Computer science; Economics; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003185509,0.00007036688,0.0001221797,0.001534793,0.0001460651,0.00002770966,0.0001265741,0.00008222327,0.00004435617],"category_scores_gemma":[0.004202824,0.00009097781,0.00001733585,0.006004585,0.00007429496,0.0003442267,0.00006498944,0.0001530572,0.000007087597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007062981,"about_ca_system_score_gemma":0.0005495691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244766,"about_ca_topic_score_gemma":0.02450131,"domain_scores_codex":[0.9984486,0.0001104921,0.0006068171,0.0002307261,0.0001905895,0.0004128334],"domain_scores_gemma":[0.9988627,0.0004027993,0.0001766036,0.0001514626,0.0003799865,0.00002639497],"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":[0.00003303594,0.0001049754,0.5159272,0.0001197501,0.0000134624,0.000004129395,0.1053659,0.0003116704,0.001172661,0.263491,0.02665151,0.08680473],"study_design_scores_gemma":[0.002666339,0.0001115443,0.2104775,0.000148967,0.00001202309,0.000001872668,0.3342687,0.0003118562,0.003328838,0.08758637,0.3605655,0.0005204745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251685,7.422389e-7,0.006390447,0.1667648,0.0001423284,0.001008747,0.00001498502,0.0001771897,0.000332267],"genre_scores_gemma":[0.992267,0.000004704275,0.006774517,0.0003977551,0.00003412364,0.0002615337,0.00009093619,0.00001017927,0.0001593109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.333914,"threshold_uncertainty_score":0.993299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08436752353863557,"score_gpt":0.485035526421434,"score_spread":0.4006680028827984,"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."}}