{"id":"W7116864979","doi":"10.1007/s11673-025-10502-y","title":"Mapping Ethical Blind Spots in the Use of New Technologies to Support Elder Care","year":2025,"lang":"en","type":"article","venue":"Journal of Bioethical Inquiry","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Universität Basel","keywords":"Preparedness; Stakeholder; Blind spot; Ethical issues; Emerging technologies; Bioethics; Informed consent; Social media; Medical law","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":[0.1003458,0.0005189602,0.0007037374,0.00521388,0.009150195,0.01004754,0.001517537,0.003075547,0.001874126],"category_scores_gemma":[0.2107306,0.0007358147,0.0006794222,0.002839306,0.02089231,0.01243343,0.01371126,0.003940242,0.0002472572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006361014,"about_ca_system_score_gemma":0.007754668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616255,"about_ca_topic_score_gemma":0.002574333,"domain_scores_codex":[0.8347981,0.1395767,0.006525929,0.002689994,0.01330906,0.003100235],"domain_scores_gemma":[0.7215273,0.2207127,0.0316979,0.008950738,0.01438257,0.002728767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001570478,0.00004889845,0.01560441,0.0004434997,0.00002711135,0.000546436,0.9343331,0.0001446843,0.000973219,0.01505468,0.0004898789,0.03217704],"study_design_scores_gemma":[0.00001881818,0.0001929604,0.01313282,0.001206487,0.00003214025,0.00113725,0.9505134,0.0005381595,0.001156619,0.01398868,0.01802585,0.00005679282],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539257,0.002533739,0.01664023,0.007474049,0.0001539028,0.0003652945,0.00003851217,0.00002878026,0.0188398],"genre_scores_gemma":[0.9944259,0.0007467894,0.003475605,0.0005898825,0.0000376085,0.0001990025,0.00001054093,0.0000141731,0.0005005331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9908498,"threshold_uncertainty_score":0.5306858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1898549609364321,"score_gpt":0.4219942701276455,"score_spread":0.2321393091912134,"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."}}