{"id":"W4323652718","doi":"10.2196/41322","title":"Proactive and Ongoing Analysis and Management of Ethical Concerns in the Development, Evaluation, and Implementation of Smart Homes for Older Adults With Frailty","year":2023,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Centres Intégré Universitaires de Santé et de Services Sociaux; University of Toronto; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Toronto Rehabilitation Institute","funders":"Agence Nationale de la Recherche","keywords":"Autonomy; Conceptual framework; Deliberation; Engineering ethics; Bioethics; Psychology; Intergenerational equity; Knowledge management; Sociology; Political science; Computer science; Engineering; Sustainability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005533443,0.00004485629,0.0001156006,0.0001327938,0.00003811092,0.000006123216,0.00001759612,0.00002052126,0.000004883841],"category_scores_gemma":[0.00001340552,0.00003111977,0.000009949263,0.0003039232,0.00003169813,0.000042958,0.00002401827,0.00005047998,3.966407e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001173142,"about_ca_system_score_gemma":0.00002518804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003657148,"about_ca_topic_score_gemma":0.0002086353,"domain_scores_codex":[0.9994811,0.00003809799,0.0001360061,0.0001108049,0.0001671765,0.00006674352],"domain_scores_gemma":[0.9996905,0.0001137937,0.00006574353,0.00005308307,0.00006220353,0.00001470759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301248,0.00002362173,0.8672515,0.0007322351,0.0003847676,9.488349e-7,0.06443006,0.000002844598,0.00004186522,0.00008145711,0.00001949774,0.06690107],"study_design_scores_gemma":[0.00223152,0.00007318687,0.9727156,0.0002220332,0.0002966509,4.815461e-7,0.02259064,0.0007370942,0.001017632,0.00005437255,0.00002559078,0.0000352261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977913,0.00004049956,0.0004763423,0.0004535202,0.000002866752,0.001156214,0.000004257375,0.000004380038,0.00007058525],"genre_scores_gemma":[0.9986184,0.00003321951,0.001074007,0.000048853,0.000003288006,0.0001699594,0.00004376093,0.000002757533,0.000005814559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054641,"threshold_uncertainty_score":0.1269027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08347434587585367,"score_gpt":0.4217333105354422,"score_spread":0.3382589646595885,"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."}}