{"id":"W4402890083","doi":"10.4017/gt.2024.23.s.1018.opp","title":"Ethical considerations in AgeTech: Towards inclusive and equitable solutions","year":2024,"lang":"en","type":"article","venue":"Gerontechnology","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"AGE-WELL","keywords":"Ethical issues; Sociology; Engineering ethics; Computer science; Internet privacy; Environmental ethics; Business; Engineering; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345696,0.0001121269,0.0001564783,0.0003546506,0.00009598597,0.00004376647,0.00008629966,0.0006166224,0.00005646391],"category_scores_gemma":[0.0001799795,0.0001132941,0.00002353313,0.0002470087,0.0002743683,0.00007573513,0.0002749623,0.000852006,0.00002770105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163998,"about_ca_system_score_gemma":0.00003905116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008406292,"about_ca_topic_score_gemma":0.0007785786,"domain_scores_codex":[0.9991485,0.000009541572,0.0001666513,0.0001806829,0.00005498828,0.0004396018],"domain_scores_gemma":[0.9996739,0.0001018834,0.000005804449,0.0001809257,0.00001414259,0.00002335593],"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":[0.000001121217,0.000009287939,0.00009225452,0.00008973774,0.00004726976,0.0001798588,0.0004414225,0.000440485,0.00512661,0.9339459,0.01160897,0.04801709],"study_design_scores_gemma":[0.0005679512,0.0001923195,0.0009511496,0.0002297135,0.0000419191,0.0006461361,0.003928635,0.05247658,0.01794457,0.7597743,0.162526,0.0007208092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.662712,0.09981076,0.06157565,0.107103,0.002927875,0.0009916837,0.0001270057,0.02389944,0.04085249],"genre_scores_gemma":[0.9972894,0.0007423337,0.001690873,0.0001000522,0.00002189017,0.00008220674,0.000002707363,0.00001755956,0.0000529342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3345774,"threshold_uncertainty_score":0.4755957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280998362989736,"score_gpt":0.2668988472891656,"score_spread":0.238799010990192,"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."}}