{"id":"W2604934981","doi":"10.1177/1043454217697022","title":"Development of a mHealth Real-Time Pain Self-Management App for Adolescents With Cancer: An Iterative Usability Testing Study","year":2017,"lang":"en","type":"article","venue":"Journal of Pediatric Oncology Nursing","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hospital for Sick Children; University of Toronto","funders":"Pediatric Oncology Group of Ontario; Alex's Lemonade Stand Foundation for Childhood Cancer","keywords":"mHealth; Usability; Pain management; Mobile apps; Cancer; Medicine; Psychology; Computer science; Human–computer interaction; World Wide Web; Physical therapy; Nursing; Psychological intervention; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01709144,0.0006571349,0.0007157373,0.0009823383,0.000842717,0.001305248,0.001046167,0.00078425,0.0006982044],"category_scores_gemma":[0.03787838,0.0005810576,0.0008363648,0.0003918491,0.0008995082,0.001400702,0.001128763,0.0007830495,0.0002218318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008763202,"about_ca_system_score_gemma":0.00182943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274913,"about_ca_topic_score_gemma":0.002571059,"domain_scores_codex":[0.9925399,0.004466689,0.0007415041,0.0004946534,0.001349247,0.0004080348],"domain_scores_gemma":[0.9704189,0.02114692,0.001002779,0.001023323,0.005885744,0.0005223862],"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":[0.002178384,0.01848075,0.1401936,0.0072315,0.0005367564,0.004001452,0.2639949,0.005885521,0.07529515,0.001443757,0.002362886,0.4783953],"study_design_scores_gemma":[0.002534039,0.1385147,0.3928806,0.005443641,0.002447861,0.00825565,0.1422781,0.05216521,0.2015165,0.002117593,0.05086502,0.0009812135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841323,0.0001342305,0.01146026,0.00008279939,0.00001358642,0.003301369,0.00005369317,0.00006967037,0.0007520792],"genre_scores_gemma":[0.8948233,0.000455811,0.09755202,0.0002010566,0.00001388129,0.005707645,0.0001595365,0.00007082982,0.001015927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01709144,"threshold_uncertainty_score":0.09038925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442125003030424,"score_gpt":0.3951542366084618,"score_spread":0.3509417363054194,"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."}}