{"id":"W3166612255","doi":"10.2196/27327","title":"Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"McNemar's test; Medication adherence; Usability; Medicine; Family medicine; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.04350754,0.001262401,0.002502214,0.001270649,0.001595545,0.001909106,0.001300046,0.001406115,0.002974464],"category_scores_gemma":[0.03319433,0.0007006617,0.003121376,0.0009600789,0.0008854112,0.00161236,0.001318434,0.001095888,0.0005319765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191086,"about_ca_system_score_gemma":0.004973007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002245644,"about_ca_topic_score_gemma":0.004443707,"domain_scores_codex":[0.9671373,0.02396308,0.003415742,0.001324451,0.003133311,0.001026118],"domain_scores_gemma":[0.9752359,0.01265915,0.003293171,0.001560708,0.006040335,0.001210608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.07105626,0.1748395,0.09370521,0.02239334,0.007565848,0.0007537468,0.02708876,0.001547729,0.005190971,0.001388488,0.004975436,0.5894948],"study_design_scores_gemma":[0.05422612,0.6845927,0.1909923,0.006632648,0.007603985,0.0005950309,0.02685979,0.007174435,0.00512558,0.001322652,0.01435274,0.0005219753],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465808,0.001996855,0.004079115,0.0003162038,0.0001136443,0.04380651,0.0008151682,0.00006486839,0.002226795],"genre_scores_gemma":[0.8250815,0.002524707,0.04074123,0.001055105,0.0001956691,0.1278604,0.0008463708,0.00004714273,0.001647927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04350754,"threshold_uncertainty_score":0.2300926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3030200287100082,"score_gpt":0.6488204651597486,"score_spread":0.3458004364497403,"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."}}