{"id":"W4411246137","doi":"10.1111/iwj.70698","title":"Our Voices, Our Stories—A Multi‐Method Knowledge Translation Strategy for Advancing Inclusivity and Creating Trauma‐Informed Wound Care","year":2025,"lang":"en","type":"article","venue":"International Wound Journal","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Lakehead University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Lakehead University","keywords":"Medicine; Wound care; Knowledge translation; Translation (biology); Trauma care; Surgery; Medical emergency; Knowledge management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1296031,0.001014561,0.0008864715,0.003579204,0.009360814,0.01761995,0.004661542,0.003164653,0.01032499],"category_scores_gemma":[0.1020835,0.001114773,0.001037158,0.002927344,0.01165776,0.01113761,0.0298824,0.006643913,0.001701988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249437,"about_ca_system_score_gemma":0.07883759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009188595,"about_ca_topic_score_gemma":0.01732517,"domain_scores_codex":[0.8877278,0.09263994,0.004434951,0.002344513,0.008761462,0.004091306],"domain_scores_gemma":[0.8782338,0.08547235,0.00485384,0.009538601,0.0123609,0.009540631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002363483,0.000965174,0.002415025,0.003593215,0.0001106862,0.00111991,0.4265078,0.0003591911,0.001722316,0.08060723,0.03343341,0.4489297],"study_design_scores_gemma":[0.0003174595,0.0006648042,0.003005829,0.009096869,0.0002101239,0.0009535949,0.4556211,0.001383201,0.005140076,0.05910163,0.464359,0.0001462325],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1945519,0.01178538,0.2318865,0.295214,0.006847787,0.02351943,0.001272836,0.001118899,0.2338033],"genre_scores_gemma":[0.640628,0.01288209,0.2642757,0.02826375,0.0006848592,0.01981585,0.0007068294,0.0008763283,0.03186645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1296031,"threshold_uncertainty_score":0.6854149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4705372192460599,"score_gpt":0.6810750104052049,"score_spread":0.210537791159145,"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."}}