{"id":"W4251546567","doi":"10.2196/preprints.17406","title":"User-Centered Design and Evaluation of a Web-Based Decision Aid for Older Adults Living With Mild Cognitive Impairment and Their Health Care Providers: Mixed Methods Study (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Waterloo; University of Toronto; Centre for Excellence in Mining Innovation","funders":"","keywords":"Usability; CLARITY; Dementia; Preprint; Comprehension; Decision aids; Scale (ratio); Cognition; Psychology; Applied psychology; Medicine; Gerontology; Computer science; Alternative medicine; Psychiatry; World Wide Web; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.06827963,0.00113386,0.002307749,0.001744684,0.001899958,0.003983121,0.001796421,0.001866205,0.005329078],"category_scores_gemma":[0.07504761,0.001071033,0.003661834,0.001679917,0.001193864,0.002899356,0.00237187,0.001560599,0.0006709373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00463094,"about_ca_system_score_gemma":0.009376193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765687,"about_ca_topic_score_gemma":0.003432454,"domain_scores_codex":[0.93914,0.04813388,0.006553659,0.001983314,0.002879764,0.001309315],"domain_scores_gemma":[0.9233322,0.05790108,0.007427829,0.002363711,0.006953988,0.002021132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04676562,0.08953444,0.07247876,0.05989583,0.00584334,0.0008602454,0.1497776,0.002067074,0.003480469,0.002659438,0.006070656,0.5605665],"study_design_scores_gemma":[0.07695369,0.4694853,0.1510409,0.04021462,0.01176662,0.0006520653,0.1719639,0.009834438,0.01226971,0.005854658,0.04864325,0.001320895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465187,0.00276609,0.005381878,0.0005766509,0.000136103,0.041765,0.000857651,0.00006254077,0.00193539],"genre_scores_gemma":[0.7962664,0.002798286,0.05956536,0.002039638,0.000170427,0.1368395,0.0006390474,0.0000483571,0.001633018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06827963,"threshold_uncertainty_score":0.3611015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0585012311580831,"score_gpt":0.4201729083452626,"score_spread":0.3616716771871795,"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."}}