{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.02937095,0.000190946,0.0004535028,0.0003517422,0.002872229,0.00003302324,0.0003815068,0.0003180376,0.0005047611],"category_scores_gemma":[0.002452878,0.0001676943,0.00007585248,0.00136546,0.0001184812,0.0003305788,0.0002351662,0.00133402,0.0004839885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736584,"about_ca_system_score_gemma":0.005184862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009403702,"about_ca_topic_score_gemma":0.0002496363,"domain_scores_codex":[0.9841708,0.01089963,0.00138031,0.0006066285,0.001750691,0.001191955],"domain_scores_gemma":[0.9871642,0.005716283,0.0004774121,0.000889624,0.00518885,0.0005636428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007618254,0.002169239,0.00618364,0.006131909,0.0001705852,0.000004343697,0.04757666,0.000009302538,0.001415256,0.05591919,0.1761654,0.7034927],"study_design_scores_gemma":[0.009043112,0.002058821,0.5606048,0.001057872,0.00008216492,0.000006902293,0.3292463,0.01425433,0.0007039882,0.003994423,0.07851081,0.0004365617],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6839638,0.001872931,0.1976562,0.00722867,0.01785052,0.06969032,0.0006622406,0.0006826217,0.0203926],"genre_scores_gemma":[0.8898602,0.00006511361,0.003003348,0.0001403838,0.0003005243,0.1056589,0.000302945,0.00003355248,0.0006350263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7030562,"threshold_uncertainty_score":0.9994668,"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."}}