{"id":"W4404521810","doi":"10.1371/journal.pone.0296528","title":"Usability of an automated medication dispensation device and adherence dashboard: A study protocol","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; Institut du Savoir Montfort; Centre for Family Medicine; Institute of Aging; Research Institute for Aging; University of Waterloo","funders":"","keywords":"Usability; Dashboard; Workload; System usability scale; Medicine; Cognitive walkthrough; Protocol (science); Computer science; Medical emergency; Human–computer interaction; Heuristic evaluation; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04519911,0.003210828,0.004691465,0.003380778,0.00537307,0.00339876,0.003528503,0.005867024,0.03668839],"category_scores_gemma":[0.02694991,0.00356352,0.003811793,0.001773789,0.002906931,0.00337869,0.002777915,0.007241826,0.01031073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005048112,"about_ca_system_score_gemma":0.02353151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674944,"about_ca_topic_score_gemma":0.009003616,"domain_scores_codex":[0.9862641,0.006077987,0.002598639,0.001369747,0.002268777,0.001420686],"domain_scores_gemma":[0.9807795,0.00592238,0.001763915,0.002366355,0.006968942,0.002198948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1291709,0.3585439,0.01417387,0.05500583,0.0007228749,0.004196167,0.02170343,0.006003757,0.01374438,0.01212462,0.0550808,0.3295295],"study_design_scores_gemma":[0.2102867,0.3178852,0.08873968,0.02835244,0.001088254,0.001139965,0.0218004,0.006569248,0.01014914,0.01085613,0.3018633,0.001269444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.004700466,0.0001003885,0.001820354,0.00008862635,0.0000547434,0.9921253,0.0004131394,0.00003586597,0.0006609798],"genre_scores_gemma":[0.001938981,0.0001058562,0.002304771,0.00007726799,0.00001656943,0.995156,0.00009624192,0.000003790427,0.0003005274],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04519911,"threshold_uncertainty_score":0.2390386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223865484852378,"score_gpt":0.3995140788931054,"score_spread":0.2771275304078676,"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."}}