{"id":"W2010815820","doi":"10.2196/med20.2729","title":"Participatory Design With Seniors: Design of Future Services and Iterative Refinements of Interactive eHealth Services for Old Citizens","year":2013,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loneliness; eHealth; Social isolation; Isolation (microbiology); Participatory design; Citizen journalism; Public relations; Computer science; Sociology; Business; Internet privacy; Psychology; Engineering; World Wide Web; Political science; Economic growth; Health care; Economics; Social psychology; Operations management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06146336,0.001123316,0.0005774117,0.001846762,0.004602758,0.004775474,0.002252462,0.001391659,0.00426193],"category_scores_gemma":[0.0459396,0.0007983433,0.001311828,0.0009434988,0.006295239,0.003701365,0.006589812,0.001522301,0.0006146292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003520627,"about_ca_system_score_gemma":0.009504311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001882595,"about_ca_topic_score_gemma":0.003163449,"domain_scores_codex":[0.9474736,0.0465251,0.00122737,0.00171485,0.001831316,0.001227698],"domain_scores_gemma":[0.9693035,0.02184939,0.001217715,0.002594939,0.003147138,0.001887358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005874909,0.001583654,0.0125353,0.002908456,0.0001277504,0.00119512,0.7079142,0.003187923,0.005795375,0.03003924,0.005393984,0.2287316],"study_design_scores_gemma":[0.001383734,0.004990807,0.0137717,0.005593759,0.0005193668,0.001688852,0.5477902,0.0175846,0.01162456,0.09532127,0.2994291,0.0003019194],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4922047,0.001290733,0.4353407,0.00648461,0.0005191313,0.01948366,0.0003233134,0.0008443522,0.04350878],"genre_scores_gemma":[0.5835785,0.0005445619,0.4028867,0.0005268234,0.00003506588,0.007702846,0.0001329462,0.000113043,0.004479555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06146336,"threshold_uncertainty_score":0.3250532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130700564880741,"score_gpt":0.3194223817557979,"score_spread":0.2881153761069905,"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."}}