{"id":"W7053520673","doi":"","title":"USER EXPERIENCE WITH MEDICATION ADHERENCE TECHNOLOGY: DETERMINING USABILITY BY CAPABILITIES","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Affect (linguistics); Medication adherence; Quality (philosophy); User experience design; Cognition; Quality of life (healthcare); Web usability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006494392,0.0003829682,0.0004188508,0.001216699,0.000538388,0.001947917,0.00032538,0.00048809,0.001852597],"category_scores_gemma":[0.02525624,0.0002424958,0.0009421819,0.0004890227,0.0004854276,0.001313051,0.001295264,0.000471107,0.0003692644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004407665,"about_ca_system_score_gemma":0.000343017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331053,"about_ca_topic_score_gemma":0.001961217,"domain_scores_codex":[0.9958461,0.001851856,0.0006833095,0.0002392772,0.001082018,0.0002975341],"domain_scores_gemma":[0.9802344,0.01359947,0.001937666,0.0004900139,0.003167736,0.0005706508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001101332,0.0009808667,0.8101071,0.001656095,0.0002215574,0.0003826621,0.06379019,0.00034887,0.006817382,0.0002331761,0.001617044,0.1127438],"study_design_scores_gemma":[0.00005519585,0.004252024,0.9420435,0.0005635077,0.0001848042,0.0007926738,0.04167562,0.001909354,0.002858473,0.0001810944,0.005360475,0.0001232482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964479,0.0002934015,0.0007553477,0.00006155239,0.00001151755,0.0002057386,0.0001041156,0.00002324892,0.002097188],"genre_scores_gemma":[0.995005,0.0003353258,0.003483599,0.00008781497,0.00001213463,0.0003239793,0.0001488368,0.00001303254,0.0005903555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006494392,"threshold_uncertainty_score":0.03434604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007101694344873663,"score_gpt":0.1986081740191562,"score_spread":0.1915064796742825,"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."}}