{"id":"W4413106611","doi":"10.1080/17483107.2025.2546020","title":"The impact of age stigma on recommendations of technology for older adults in rehabilitation settings: a secondary analysis of qualitative data","year":2025,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; McGill University Health Centre; Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Thematic analysis; Stigma (botany); Rehabilitation; Focus group; Health care; Qualitative research; Psychology; Gerontology; Perception; Applied psychology; Medicine; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.03670931,0.0003105471,0.0007209947,0.003816549,0.003985859,0.002942713,0.0008815369,0.0008804074,0.002483175],"category_scores_gemma":[0.07230778,0.0005203729,0.0005545848,0.003764353,0.00428303,0.003087482,0.004143533,0.001152634,0.0002207951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005681994,"about_ca_system_score_gemma":0.008664572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042793,"about_ca_topic_score_gemma":0.01556705,"domain_scores_codex":[0.9785815,0.01515801,0.001498634,0.0007608588,0.002531791,0.001469146],"domain_scores_gemma":[0.8933277,0.08454031,0.008069472,0.002848439,0.01027356,0.0009405073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006812138,0.00005014154,0.02119701,0.0008056954,0.00001934643,0.000358301,0.9635679,0.00005744169,0.000847227,0.001221567,0.0004397318,0.01136757],"study_design_scores_gemma":[0.000009944479,0.00006647769,0.02088302,0.001001145,0.00002270811,0.000250511,0.9711204,0.0001778576,0.0009116073,0.0005929162,0.00494341,0.0000198899],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910324,0.0004427939,0.002952917,0.0007919352,0.00002086063,0.0007306333,0.0005616939,0.000009115213,0.00345756],"genre_scores_gemma":[0.9945019,0.0005139153,0.002224854,0.0003628946,0.00001055308,0.001297158,0.0001972931,0.00001476109,0.0008765807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670931,"threshold_uncertainty_score":0.1941397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08529745407463082,"score_gpt":0.481230949404051,"score_spread":0.3959334953294202,"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."}}