{"id":"W4410132328","doi":"10.1007/s10916-025-02189-w","title":"Designing a Real-Time Medication Intake and Adherence Dashboard: Features, Functionality, and Data Display to Meet the Needs of Patients, Care Partners and Healthcare Providers","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Institute for Aging; Canadian Pharmacists Association; University of Waterloo","funders":"","keywords":"Dashboard; Health informatics; Health care; Medicine; Nursing; Medical emergency; Computer science; Data science; Public health","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":[0.001664741,0.0001129103,0.0003931868,0.0001236871,0.00009220587,0.00003405661,0.0002891029,0.0001304981,0.00002290634],"category_scores_gemma":[0.0013483,0.00006777167,0.00002223938,0.0002488389,0.0002252611,0.0001099747,0.0001532953,0.0002622232,0.000001221107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004801373,"about_ca_system_score_gemma":0.0006108339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003817262,"about_ca_topic_score_gemma":0.00003207861,"domain_scores_codex":[0.9977039,0.000219094,0.0006475129,0.0001795828,0.00111024,0.0001396999],"domain_scores_gemma":[0.9981416,0.0003559999,0.0004020758,0.0003209059,0.0003418403,0.0004375443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001322844,0.0002690238,0.4536396,0.00828248,0.0006464142,0.00003389881,0.01074137,0.00000506276,0.0008726419,0.009221595,0.4223942,0.09257087],"study_design_scores_gemma":[0.01340703,0.004191941,0.7489083,0.03608141,0.001304176,0.0009860392,0.09313884,0.002897699,0.0001646836,0.0006364291,0.09765863,0.0006248147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8344712,0.0307814,0.004693528,0.1245866,0.00142492,0.0025347,0.00008788823,0.00003667281,0.00138308],"genre_scores_gemma":[0.9973518,0.001014916,0.0002348524,0.0009546267,0.0001546715,0.00001989798,0.00003132614,0.000006378724,0.0002315307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3247356,"threshold_uncertainty_score":0.2763649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04941755746509047,"score_gpt":0.3687523581061064,"score_spread":0.3193348006410159,"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."}}