{"id":"W2098044024","doi":"10.1186/1748-5908-5-90","title":"Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice","year":2010,"lang":"en","type":"article","venue":"Implementation Science","topic":"Appreciative Inquiry and Organizational Change","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Sigma Theta Tau International; Registered Nurses' Association of Ontario","keywords":"Medicine; Nursing; Context (archaeology); Documentation; Appreciative inquiry; Knowledge translation; Intervention (counseling); Action plan; Health services research; Medical education; Health administration; Qualitative property; Health care; Public health; Psychology; Knowledge management; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009744402,0.0001429107,0.0001204881,0.0006363166,0.0003906496,0.0001936643,0.000475709,0.00003060624,0.0004251844],"category_scores_gemma":[0.002326942,0.0001435618,0.00002738329,0.003705479,0.0001965695,0.00540209,0.00008321013,0.0001044466,0.00007154438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244149,"about_ca_system_score_gemma":0.0001850913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005568962,"about_ca_topic_score_gemma":0.00008694238,"domain_scores_codex":[0.9969526,0.00007308176,0.0004232916,0.0004514075,0.001820999,0.0002785988],"domain_scores_gemma":[0.9966426,0.0002453303,0.0004730517,0.000200495,0.002407366,0.00003116908],"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":[0.0002560411,0.0006263352,0.08357299,0.0006887799,0.00005652656,0.000003379706,0.07360827,0.002456194,0.0331329,0.07352328,0.002625065,0.7294502],"study_design_scores_gemma":[0.004024869,0.0002572139,0.6835343,0.0004975786,0.001482118,0.000005483688,0.1574978,0.0209029,0.03330526,0.09008281,0.006569711,0.00184004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393849,0.0000460006,0.05213013,0.003214182,0.001025491,0.001687198,0.000003177606,0.00006275366,0.002446166],"genre_scores_gemma":[0.9940725,0.00000542129,0.003727065,0.001233878,0.0008103411,0.0001187921,0.00001426914,0.00001318796,0.000004531681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7276102,"threshold_uncertainty_score":0.585428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1446811994992747,"score_gpt":0.4916982294680753,"score_spread":0.3470170299688006,"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."}}