{"id":"W4307449677","doi":"10.1007/s11948-022-00397-y","title":"Equity in AgeTech for Ageing Well in Technology-Driven Places: The Role of Social Determinants in Designing AI-based Assistive Technologies","year":2022,"lang":"en","type":"article","venue":"Science and Engineering Ethics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Karl Landsteiner Privatuniversität für Gesundheitswissenschaften","keywords":"Philosophy of science; Ageing; Equity (law); Philosophy of technology; Engineering ethics; Sociology; Knowledge management; Psychology; Engineering; Computer science; Political science; Epistemology; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.03005706,0.0004149016,0.000397211,0.001118055,0.004539324,0.009317445,0.001031536,0.002581387,0.003382227],"category_scores_gemma":[0.03761913,0.0002206884,0.0004378227,0.000702635,0.02682139,0.007650017,0.008046299,0.003098801,0.0004907973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004495972,"about_ca_system_score_gemma":0.006940998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286296,"about_ca_topic_score_gemma":0.003052179,"domain_scores_codex":[0.9722571,0.02020471,0.0008649626,0.001634589,0.00359262,0.001445982],"domain_scores_gemma":[0.9637203,0.0236606,0.003499302,0.00324785,0.003470249,0.002401778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003606745,0.0001380321,0.0148553,0.0002884651,0.00003372105,0.000224823,0.03906007,0.001035546,0.0008669964,0.883509,0.002844848,0.05710705],"study_design_scores_gemma":[0.00002014823,0.0001803227,0.01241724,0.0009639174,0.00003895774,0.0003765631,0.03270115,0.001915547,0.001799696,0.8439491,0.1055742,0.000063258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3763439,0.009299297,0.141427,0.1814568,0.001054532,0.0004764381,0.0001263305,0.0001018585,0.2897138],"genre_scores_gemma":[0.9863282,0.00106039,0.006387646,0.00277615,0.0001474963,0.0001175976,0.00001737771,0.00002470989,0.003140413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954607,"threshold_uncertainty_score":0.1589588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575920895952774,"score_gpt":0.3446988846284218,"score_spread":0.3089396756688941,"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."}}