{"id":"W2986824440","doi":"10.1093/geroni/igz038.084","title":"SMART LIFE, FITNESS, WELLNESS, AND THE PROMISE OF DIGITAL HEALTH TECHNOLOGIES FOR OLDER PEOPLE","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Standardization; Clothing; Austerity; Internet privacy; Intervention (counseling); Product (mathematics); Public relations; Business; Marketing; Computer science; Multimedia; Medicine; Nursing; Political science","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":[0.003726278,0.0001761983,0.0001871605,0.001027151,0.001670931,0.005057488,0.0002707658,0.0009748042,0.002686409],"category_scores_gemma":[0.004733686,0.0001177814,0.0001917682,0.0004879588,0.005027422,0.003926697,0.002977122,0.001204829,0.0001777497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008749549,"about_ca_system_score_gemma":0.0008644324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277515,"about_ca_topic_score_gemma":0.002262792,"domain_scores_codex":[0.998723,0.0007787491,0.00005750084,0.00008755273,0.0002220159,0.000131198],"domain_scores_gemma":[0.9969659,0.001905877,0.0004172634,0.0001428747,0.0002269589,0.0003410037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009591399,0.0003395482,0.08378767,0.000536069,0.00005061842,0.0007960279,0.536145,0.0002837946,0.002356347,0.2205278,0.007257559,0.1478237],"study_design_scores_gemma":[0.00002397007,0.0005457452,0.1272153,0.001389322,0.00006692847,0.0015443,0.5650738,0.0009178987,0.001561943,0.04920987,0.2523712,0.00007963651],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513046,0.007837381,0.00275494,0.04931187,0.0001971772,0.00003312254,0.00006397354,0.00002927093,0.08846765],"genre_scores_gemma":[0.9952619,0.001473702,0.0004690998,0.001021378,0.0000483804,0.00001071715,0.000008366173,0.000003045291,0.001703332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005057488,"threshold_uncertainty_score":0.01970667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388868839681112,"score_gpt":0.288949322248884,"score_spread":0.2750606338520729,"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."}}