{"id":"W3102954976","doi":"10.2196/18074","title":"Stakeholder Feedback of Electronic Medication Adherence Products: Qualitative Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; Institute of Aging; Centre for Family Medicine; University of Waterloo","funders":"","keywords":"Usability; Qualitative research; Health literacy; Learnability; Health care; eHealth; Psychology; Patient portal; Exploratory research; Focus group; Medicine; Nursing; Computer science; Business","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007559145,0.0001116577,0.0006188827,0.000396116,0.00002284696,0.00001771655,0.0007865879,0.0001547024,0.01143682],"category_scores_gemma":[0.01136668,0.00007880645,0.000173874,0.002098135,0.0005306691,0.0001173385,0.0001013014,0.001767262,0.0003415388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208501,"about_ca_system_score_gemma":0.002154579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008336065,"about_ca_topic_score_gemma":0.000006157367,"domain_scores_codex":[0.9925267,0.0007144432,0.001083963,0.0002680472,0.005031926,0.0003749308],"domain_scores_gemma":[0.9955171,0.0005842553,0.0005434643,0.0002886255,0.002273261,0.0007933298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004256514,0.002393333,0.01565403,0.002033188,0.007463079,0.0004312779,0.04721436,0.00001277936,0.01218174,0.01033391,0.8437613,0.05426444],"study_design_scores_gemma":[0.03111712,0.0551264,0.08854147,0.01202138,0.005491042,0.001303377,0.1725851,0.05663561,0.1121183,0.008800981,0.4546105,0.001648704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7856271,0.003334711,0.01717518,0.1906358,0.000153889,0.0004276119,0.000004334176,0.00001722074,0.002624092],"genre_scores_gemma":[0.9950454,0.0008246711,0.0004509083,0.0009382375,0.0003961764,0.000009848234,0.00001031169,0.000009999671,0.002314419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3891509,"threshold_uncertainty_score":0.996961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3445913365690567,"score_gpt":0.5195745435026305,"score_spread":0.1749832069335738,"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."}}