{"id":"W7133073905","doi":"","title":"A Tailored Fit: Design and Evaluation of a Website Structure Self-Tailoring Option for Older Adults","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Focus (optics); Focus group; Aging in place; Control (management); Older people; User satisfaction; Website design; Information structure","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":[0.005430072,0.0006434332,0.00040743,0.0009124759,0.0005345537,0.001057544,0.000889262,0.001094259,0.003944953],"category_scores_gemma":[0.01198067,0.0004294162,0.0007866967,0.0003324546,0.0004250215,0.001100307,0.0008416044,0.0006979985,0.0005439452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000617286,"about_ca_system_score_gemma":0.001399837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096199,"about_ca_topic_score_gemma":0.002054118,"domain_scores_codex":[0.9980589,0.001061033,0.0001755783,0.0001719838,0.0003943,0.0001381914],"domain_scores_gemma":[0.9955967,0.002298187,0.0002983412,0.0003226902,0.0008664171,0.0006176764],"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":[0.01093836,0.09088062,0.03885043,0.003909905,0.0004324757,0.001222918,0.02496894,0.009440883,0.08206472,0.002652883,0.004854409,0.7297834],"study_design_scores_gemma":[0.0185906,0.5193642,0.2195484,0.001286009,0.002187872,0.001450383,0.02597789,0.06107353,0.09095608,0.003606152,0.05534941,0.0006096186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844872,0.00004924565,0.007487958,0.00009778827,0.00002642831,0.00563377,0.0001584967,0.0002047519,0.001854318],"genre_scores_gemma":[0.8066059,0.0003049501,0.1751716,0.0003617891,0.00002768031,0.01046986,0.0005541535,0.00018617,0.006317934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005430072,"threshold_uncertainty_score":0.02871734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429732534635964,"score_gpt":0.3790726672906434,"score_spread":0.3347753419442837,"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."}}