{"id":"W2969803373","doi":"10.1089/sur.2019.148","title":"Engaging Patients in Co-Design of Mobile Health Tools for Surgical Site Infection Surveillance: Implications for Research and Implementation","year":2019,"lang":"en","type":"review","venue":"Surgical Infections","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"Centers for Disease Control and Prevention","keywords":"Medicine; Stakeholder; Psychological intervention; mHealth; Health care; Leverage (statistics); Patient experience; Patient satisfaction; Qualitative research; Nursing; Medical emergency; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008082203,0.0004180374,0.002106934,0.001064693,0.002043457,0.00003880979,0.0001671882,0.0007004214,0.000102546],"category_scores_gemma":[0.0004687136,0.0003927864,0.0003282129,0.001468909,0.0001513382,0.000230926,0.0001092867,0.001493553,0.0000499206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191654,"about_ca_system_score_gemma":0.003354165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493009,"about_ca_topic_score_gemma":0.001058755,"domain_scores_codex":[0.9914718,0.002915001,0.002966458,0.0009414831,0.0002850024,0.001420259],"domain_scores_gemma":[0.9735997,0.02299104,0.00128799,0.0006046946,0.001049413,0.0004672047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007587876,0.0006575454,0.0260153,0.03929548,0.00004562986,1.383738e-7,0.0001926792,0.00002199878,1.610311e-7,0.009022199,0.004647148,0.9200258],"study_design_scores_gemma":[0.003177815,0.0013274,0.002964302,0.001901924,0.00004762138,0.000005089889,0.00008629135,0.00002446185,1.302316e-7,0.0005113668,0.9896954,0.0002581925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001853288,0.8118749,0.007085888,0.00057617,0.001163392,0.1664585,0.009986082,0.0002697599,0.0007319932],"genre_scores_gemma":[0.0007905748,0.8078583,0.0002486124,0.00003584498,0.0003168212,0.1850112,0.005524276,0.00008291936,0.0001314089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9850482,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3829545674512216,"score_gpt":0.6262753740975463,"score_spread":0.2433208066463247,"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."}}