{"id":"W4248013645","doi":"10.2196/preprints.12028","title":"iCanCope PostOp: User-Centered Design of a Smartphone-Based App for Self-Management of Postoperative Pain in Children and Adolescents (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto; SickKids Foundation; Shriners Hospitals for Children - Canada; Public Health Ontario; Hospital for Sick Children","funders":"","keywords":"Multidisciplinary approach; Pain management; Preprint; Focus group; Medicine; Perspective (graphical); mHealth; Physical therapy; Nursing; Psychological intervention; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002835412,0.0005051112,0.0002767731,0.0004879234,0.000482893,0.001043172,0.0007205358,0.0005855115,0.00485158],"category_scores_gemma":[0.004140876,0.0003178128,0.0006722247,0.0001929201,0.0005582501,0.0007685598,0.001120354,0.0004739975,0.0006113263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862629,"about_ca_system_score_gemma":0.001205254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004261411,"about_ca_topic_score_gemma":0.0009392523,"domain_scores_codex":[0.9987532,0.000747405,0.0001110843,0.0001144318,0.0001819556,0.00009198697],"domain_scores_gemma":[0.998133,0.001226886,0.00008743644,0.00009818076,0.0003179928,0.0001364819],"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":[0.003452136,0.003637551,0.03819191,0.007619111,0.0002088622,0.00337182,0.1301372,0.004870121,0.1100438,0.01078452,0.02695525,0.6607278],"study_design_scores_gemma":[0.004898862,0.05121398,0.195132,0.004404258,0.001419111,0.005631435,0.0887358,0.0636001,0.1239328,0.0108336,0.4493173,0.000880687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8087583,0.0004880416,0.1570042,0.001139685,0.0002841735,0.0157834,0.0009923363,0.001832778,0.01371713],"genre_scores_gemma":[0.5782766,0.0006096677,0.3869107,0.000660562,0.00005793153,0.0226683,0.0005924307,0.0002415914,0.009982426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00485158,"threshold_uncertainty_score":0.01623017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507204173066355,"score_gpt":0.2736424828288386,"score_spread":0.2585704410981751,"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."}}