{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004247183,0.00008683592,0.0002154516,0.00005967543,0.00003073046,0.00001806761,0.0000775085,0.00004599285,0.0005501015],"category_scores_gemma":[0.000204621,0.0000704506,0.00001455457,0.0002608212,0.00008652264,0.0001583899,0.00002337527,0.000117812,0.0001176201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003167167,"about_ca_system_score_gemma":0.0001545177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005501324,"about_ca_topic_score_gemma":0.00001642828,"domain_scores_codex":[0.9987138,0.0000834306,0.0003297144,0.0002943772,0.000484998,0.00009370163],"domain_scores_gemma":[0.9992346,0.00006402304,0.00008324909,0.0003454029,0.0001513483,0.0001213381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001082854,0.03668446,0.5398083,0.01604487,0.001035386,0.00004866548,0.009016025,0.000001539867,0.2748729,0.0007524773,0.001304277,0.1193483],"study_design_scores_gemma":[0.003100887,0.004094982,0.7838088,0.003302892,0.0005871642,0.00001316995,0.001394266,0.1762797,0.02635304,0.000505764,0.0003024359,0.0002569723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539801,0.00002667939,0.00007573135,0.0004454373,0.00001506603,0.04449377,0.000003044933,0.0003232982,0.0006368727],"genre_scores_gemma":[0.962015,0.000003583838,0.001492086,0.00007229792,0.00004598767,0.03605289,0.00001738707,0.000008999274,0.0002917193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2485199,"threshold_uncertainty_score":0.6023226,"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."}}