{"id":"W4413054807","doi":"10.1080/07853890.2025.2520395","title":"Developing a framework for medical student feedback literacy using a triangulated thematic analysis","year":2025,"lang":"en","type":"article","venue":"Annals of Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"Ministry of Higher Education, Malaysia","keywords":"Thematic analysis; Stakeholder; Context (archaeology); Medical education; Literacy; Health literacy; Focus group; Psychology; Health care; Medicine; Qualitative research; Pedagogy; Sociology; Public relations; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1197287,0.001284079,0.001387033,0.01501595,0.008855253,0.01012641,0.00493914,0.002349051,0.003879796],"category_scores_gemma":[0.08804417,0.0009309447,0.002107067,0.01239397,0.01331449,0.01036166,0.01227477,0.003207976,0.0006153464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0209111,"about_ca_system_score_gemma":0.02475348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008471915,"about_ca_topic_score_gemma":0.007877802,"domain_scores_codex":[0.9014495,0.08183809,0.004184484,0.003000163,0.007373002,0.002154668],"domain_scores_gemma":[0.9310203,0.05115271,0.003389508,0.0031728,0.01015453,0.001110156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000100781,0.0002330682,0.007444245,0.002093142,0.00007558028,0.0008557657,0.73948,0.001776789,0.001111654,0.1270693,0.002721557,0.1170382],"study_design_scores_gemma":[0.0001334413,0.0003154896,0.004590454,0.007338154,0.0001015236,0.0006641566,0.7617061,0.01460494,0.001994929,0.146071,0.06234066,0.0001392453],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2437992,0.001469112,0.6677078,0.008753121,0.0002318781,0.03836066,0.001370867,0.000287962,0.03801936],"genre_scores_gemma":[0.3628025,0.0006346782,0.6027079,0.0005988544,0.00002497898,0.03048415,0.0007854822,0.00007563066,0.001885904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1197287,"threshold_uncertainty_score":0.6331933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071848711784414,"score_gpt":0.5351062221418572,"score_spread":0.4279213509634158,"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."}}