{"id":"W3048907237","doi":"10.2196/17286","title":"Emerging Technologies With Potential Care and Support Applications for Older People: Review of Gray Literature","year":2020,"lang":"en","type":"review","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; University of Sheffield","keywords":"Emerging technologies; Health care; Narrative review; Grey literature; Population ageing; Wearable computer; Independent living; Wearable technology; Population; Knowledge management; Computer science; Internet privacy; Medicine; MEDLINE; Gerontology; Political science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001954032,0.0003250967,0.001245945,0.0002344957,0.0003302864,0.00005881423,0.0005926728,0.0004220824,0.00001168967],"category_scores_gemma":[0.0001025305,0.0002543775,0.0002389746,0.001338548,0.0002762218,0.0001299582,0.0001692094,0.0004733514,0.00000265171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000715279,"about_ca_system_score_gemma":0.000365256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001246236,"about_ca_topic_score_gemma":0.00007368988,"domain_scores_codex":[0.9983289,0.00006550244,0.0004358992,0.0005715764,0.0002572584,0.0003408559],"domain_scores_gemma":[0.9987292,0.00008341727,0.0004828316,0.0004075899,0.0002420956,0.00005480773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.521806e-7,0.000007459051,0.00001741848,0.1401629,0.00004736285,0.000004981036,0.002946193,1.03752e-8,1.231654e-7,0.0008705906,0.0008719252,0.8550705],"study_design_scores_gemma":[0.00009489957,0.00002761498,0.000003880985,0.07919126,0.000444642,0.00001937144,0.002683726,1.712299e-7,9.551637e-7,0.00006187047,0.9172221,0.0002495176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.605625e-7,0.991572,0.0007866804,0.001443176,0.00004899434,0.00503274,0.0001282656,0.0005886548,0.0003989146],"genre_scores_gemma":[0.0001426482,0.9939515,0.002287084,0.00005095332,0.00009089206,0.003164851,0.0001852859,0.0000455919,0.00008118067],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9163502,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127123421759314,"score_gpt":0.3379922906811186,"score_spread":0.3267210564635255,"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."}}