{"id":"W1481876484","doi":"10.1111/hex.12378","title":"Supporting quality public and patient engagement in health system organizations: development and usability testing of the <scp>P</scp> ublic and <scp>P</scp> atient <scp>E</scp> ngagement <scp>E</scp> valuation <scp>T</scp> ool","year":2015,"lang":"en","type":"article","venue":"Health Expectations","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"Winnipeg Regional Health Authority; Thunder Bay Regional Health Sciences Centre; Nova Scotia Health Authority; Ministry of Health and Long Term Care; McMaster University","funders":"Canadian Institutes of Health Research; Capital Health; Alberta Health Services","keywords":"Respondent; Delphi method; Usability; Quality (philosophy); Knowledge management; Process management; Process (computing); Medical education; Computer science; Medicine; Psychology; Business; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01536487,0.001305368,0.00198652,0.001221086,0.00645337,0.0002658608,0.0007373686,0.0005874854,0.00001128515],"category_scores_gemma":[0.04330881,0.001204567,0.0001668853,0.003797535,0.0004395863,0.001014745,0.001360712,0.00210891,0.00007855374],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005004511,"about_ca_system_score_gemma":0.008569101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003335305,"about_ca_topic_score_gemma":0.002846024,"domain_scores_codex":[0.9722828,0.01033529,0.00814048,0.002315624,0.003123104,0.003802736],"domain_scores_gemma":[0.9609593,0.02417276,0.00722784,0.001695023,0.002753054,0.003192083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005208944,0.001688965,0.5239121,0.01307313,0.0001469484,0.0000047936,0.4327164,0.0003153609,0.00005351395,0.004516306,0.01972217,0.003845063],"study_design_scores_gemma":[0.005004773,0.001580843,0.2074146,0.00325141,0.00009283725,0.00001725539,0.7196521,0.003645837,0.0003291914,0.0008029059,0.05805834,0.0001498467],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696618,0.007269882,0.001932864,0.001239183,0.001887785,0.01453168,0.0004542964,0.0004654092,0.002557142],"genre_scores_gemma":[0.9774906,0.0005381201,0.01093961,0.004227548,0.000286144,0.003865822,0.001393469,0.0002234055,0.001035288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3164975,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2582950235572009,"score_gpt":0.4151880735142585,"score_spread":0.1568930499570577,"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."}}