{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003280264,0.0002083238,0.0002971026,0.0004619595,0.002738083,0.000171553,0.0003483469,0.0001775386,0.00005670861],"category_scores_gemma":[0.002858714,0.0001974085,0.00008887532,0.000308326,0.00002371844,0.0009668326,0.00009819413,0.0008530063,0.00001353358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635769,"about_ca_system_score_gemma":0.002821547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004283536,"about_ca_topic_score_gemma":0.007311662,"domain_scores_codex":[0.9967805,0.0005577376,0.001244528,0.000309261,0.0004598454,0.0006481688],"domain_scores_gemma":[0.9950485,0.002444583,0.0006626584,0.0001311797,0.001427456,0.0002856101],"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":[0.000697582,0.0001778981,0.05353023,0.002175794,0.0003188927,0.0000101918,0.2478927,0.001506078,0.001983678,0.008467023,0.01547649,0.6677634],"study_design_scores_gemma":[0.009774917,0.0002652511,0.05468862,0.001055794,0.000088444,0.00006374641,0.3428981,0.02054915,0.0002118524,0.003804204,0.5660692,0.0005307311],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2057935,0.0006785947,0.7178784,0.03193295,0.01071075,0.003334814,0.0005388138,0.000144182,0.02898803],"genre_scores_gemma":[0.9116316,0.0000649914,0.08075078,0.002564475,0.00144346,0.0001810226,0.00003687535,0.00002374342,0.003303014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7058381,"threshold_uncertainty_score":0.9985602,"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."}}