{"id":"W2943268290","doi":"10.1145/3290607.3312917","title":"Development and Initial Validation of a Scale to Measure Engagement with eHealth Technologies","year":2019,"lang":"en","type":"article","venue":"","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cilag; ZonMw; Arthritis Society; Celgene; Biogen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Dutch Arthritis Society; Pfizer","keywords":"eHealth; Scale (ratio); Psychological intervention; Measure (data warehouse); Computer science; Set (abstract data type); Empirical research; Knowledge management; Data science; Psychology; Political science; Health care; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.04081886,0.0005027302,0.0007637623,0.002838598,0.001176003,0.001615466,0.00116232,0.001232356,0.003264799],"category_scores_gemma":[0.06796604,0.0006481181,0.001971522,0.001519687,0.001070443,0.00222764,0.002757415,0.002066616,0.001001797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705507,"about_ca_system_score_gemma":0.004919225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551532,"about_ca_topic_score_gemma":0.00274287,"domain_scores_codex":[0.9779359,0.009386647,0.004434917,0.0007134501,0.006960964,0.0005681863],"domain_scores_gemma":[0.9395157,0.03182885,0.002463262,0.003012633,0.02188457,0.001294863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001533171,0.003435723,0.2286987,0.003698952,0.0004177644,0.0003825561,0.0329692,0.001762953,0.01864601,0.009368962,0.01403786,0.685048],"study_design_scores_gemma":[0.001294203,0.01126732,0.7845911,0.003053824,0.0005805066,0.0008397639,0.02777562,0.01184497,0.01803171,0.01019814,0.1301349,0.0003879794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587483,0.001051187,0.1269297,0.0028224,0.0007966284,0.07316724,0.004597268,0.000571876,0.03131544],"genre_scores_gemma":[0.4737474,0.001267692,0.4010733,0.000711099,0.0001595034,0.1117139,0.004777186,0.0002002299,0.00634969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04081886,"threshold_uncertainty_score":0.2158733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016654063851548,"score_gpt":0.3273918821153628,"score_spread":0.2872253414768473,"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."}}