{"id":"W4390995273","doi":"10.2196/50528","title":"A Mobile Applet for Assessing Medication Adherence and Managing Adverse Drug Reactions Among Patients With Cancer: Usability and Utility Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Pharmaceutical Association","keywords":"Usability; Java applet; Medicine; Drug; Adverse effect; Oncology; Internal medicine; Pharmacology; Computer science; Human–computer interaction; Java","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":[],"consensus_categories":[],"category_scores_codex":[0.001353305,0.0001053932,0.0001790961,0.0001492319,0.0003117217,0.00007573143,0.00007676434,0.0000358198,0.0001757123],"category_scores_gemma":[0.00009749855,0.0000765992,0.000019415,0.000422298,0.0004208153,0.0006226425,0.00007015624,0.0003943248,0.00001841329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233824,"about_ca_system_score_gemma":0.0002106347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002448313,"about_ca_topic_score_gemma":0.00004169439,"domain_scores_codex":[0.9983806,0.0001446902,0.0002551338,0.0003614588,0.0006065672,0.0002515428],"domain_scores_gemma":[0.9987962,0.0003299873,0.00006357345,0.0002460928,0.0003811904,0.0001830136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002388587,0.0007617397,0.8391132,0.00224803,0.0001018923,0.000003156392,0.01507473,9.579389e-7,0.00003093433,0.0001090577,0.006394373,0.1359231],"study_design_scores_gemma":[0.001265236,0.000653177,0.9671726,0.0008032389,0.00003110703,0.000001958615,0.01570244,0.009738632,0.00003081354,0.0003470829,0.004160443,0.00009324378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935017,0.0002535921,0.001155092,0.0003133304,0.0000618986,0.003424608,0.00002681117,0.00005299606,0.001209943],"genre_scores_gemma":[0.9949959,0.0001106276,0.0001731778,0.0000191538,0.0000306661,0.003859085,0.00003528866,0.000009647686,0.0007664356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358298,"threshold_uncertainty_score":0.3123625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07295176599856489,"score_gpt":0.4529584176684737,"score_spread":0.3800066516699088,"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."}}