{"id":"W4402850746","doi":"10.12927/hcpap.2024.27400","title":"Technology, Aging and Home and Community Care: Picking the Right Problems to Solve","year":2024,"lang":"en","type":"article","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research; Canadian Mental Health Association; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Gerontology; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01092897,0.0009204907,0.001275375,0.002046785,0.01462692,0.0112376,0.004640874,0.02618968,0.003222974],"category_scores_gemma":[0.03957924,0.0003743671,0.001354119,0.00257589,0.02940431,0.01169773,0.005245924,0.02726966,0.0008312351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03170414,"about_ca_system_score_gemma":0.07655703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5504367,"about_ca_topic_score_gemma":0.7258554,"domain_scores_codex":[0.9856579,0.00607847,0.0007931331,0.001030788,0.004477125,0.001962668],"domain_scores_gemma":[0.963488,0.02122956,0.001333343,0.0005283792,0.00944491,0.003975881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004321552,0.00002821737,0.001116527,0.0009358343,0.00004638914,0.000640312,0.02898351,0.0001566379,0.0001379639,0.07020804,0.8482454,0.04945786],"study_design_scores_gemma":[0.00002186507,0.00002779725,0.001300441,0.002879838,0.00003879454,0.0004255247,0.03747106,0.0001560393,0.0001256577,0.02568124,0.9317484,0.0001234223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003744856,0.01945415,0.000286012,0.9679786,0.009631285,0.000005602141,0.00001287266,0.000007792517,0.002249209],"genre_scores_gemma":[0.02932329,0.0575451,0.0009582611,0.8846133,0.02217375,0.00004711875,0.00002900082,0.00003975501,0.005270451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5504367,"threshold_uncertainty_score":0.9044217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041592635662985,"score_gpt":0.3196976744246685,"score_spread":0.2892817480680386,"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."}}