{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005662845,0.0005008937,0.0008138407,0.001110906,0.0004791896,0.0007506026,0.0003120849,0.0006473007,0.001580877],"category_scores_gemma":[0.01424425,0.0002421312,0.001094218,0.0005961399,0.000305293,0.0008323602,0.0008762514,0.000496834,0.0002317259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276655,"about_ca_system_score_gemma":0.0006708672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080109,"about_ca_topic_score_gemma":0.002262341,"domain_scores_codex":[0.9971295,0.001789405,0.0003196405,0.0002052521,0.0003907653,0.000165533],"domain_scores_gemma":[0.9901101,0.006766289,0.0008036769,0.0003419741,0.001450197,0.0005276519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004724976,0.006790786,0.5610853,0.006185602,0.0009491887,0.001852595,0.03111269,0.0009780363,0.01041465,0.0003173815,0.005977533,0.3696113],"study_design_scores_gemma":[0.001297462,0.04483147,0.8928411,0.001600415,0.001653736,0.003352358,0.02484662,0.008394022,0.004687501,0.0002763123,0.01592343,0.0002955799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995629,0.0005892251,0.001016952,0.0002243889,0.00003197601,0.001178833,0.0003006372,0.00006098253,0.0009681116],"genre_scores_gemma":[0.9884183,0.000841399,0.007908039,0.0002777758,0.00004453824,0.001566925,0.0002677189,0.00001669327,0.0006587091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005662845,"threshold_uncertainty_score":0.02994835,"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."}}