{"id":"W2788215779","doi":"10.2196/mhealth.9486","title":"Mobile App Delivery of the EORTC QLQ-C30 Questionnaire to Assess Health-Related Quality of Life in Oncological Patients: Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Quality of life (healthcare); Medicine; Mobile apps; Medical education; World Wide Web; Computer science; Nursing; Psychological intervention; Human–computer interaction","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":[0.009148902,0.0005730235,0.0009760053,0.0008949332,0.0004587682,0.0006562143,0.0003514024,0.0005759735,0.001294403],"category_scores_gemma":[0.02208802,0.0002443248,0.0009656901,0.0004537626,0.000384856,0.0007631744,0.0007972745,0.0004938455,0.0002866135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370737,"about_ca_system_score_gemma":0.0005733447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110197,"about_ca_topic_score_gemma":0.00138903,"domain_scores_codex":[0.9949891,0.002643899,0.0006206079,0.0004361817,0.0009715892,0.0003386779],"domain_scores_gemma":[0.9857238,0.009242261,0.0008847336,0.000602914,0.003054851,0.0004914978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01443028,0.0410554,0.5425949,0.005091034,0.001322353,0.001952656,0.03327407,0.002328203,0.01967646,0.0002784465,0.007224544,0.3307717],"study_design_scores_gemma":[0.002798215,0.1287868,0.8227825,0.0006111295,0.001286616,0.002801398,0.01079316,0.01026757,0.01007721,0.0001821845,0.009301627,0.0003115197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974497,0.0001735677,0.0007046859,0.00005354857,0.00001541333,0.0009641754,0.0001511683,0.0000235266,0.0004640644],"genre_scores_gemma":[0.9944916,0.0001895931,0.002915114,0.0001428337,0.00002521513,0.001589093,0.0002222862,0.00002094751,0.0004033741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009148902,"threshold_uncertainty_score":0.04838455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450967551913217,"score_gpt":0.503276832116896,"score_spread":0.3581800769255743,"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."}}