{"id":"W4221111944","doi":"10.1111/hex.13478","title":"Humanizing harm: Using a restorative approach to heal and learn from adverse events","year":2022,"lang":"en","type":"article","venue":"Health Expectations","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Victoria University; Victoria University of Wellington; Patient Safety Translational Research Centre; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Harm; Patient safety; Health care; Medicine; Do no harm; Psychology; Public relations; Political science; Psychiatry; Social psychology","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":[0.076808,0.0008455343,0.0004943543,0.002543704,0.01381137,0.01557549,0.003779639,0.008874244,0.00453397],"category_scores_gemma":[0.06520947,0.000556932,0.001166668,0.0008130292,0.1162901,0.0129344,0.02946779,0.01176293,0.001000278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008263025,"about_ca_system_score_gemma":0.02958766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119655,"about_ca_topic_score_gemma":0.00318298,"domain_scores_codex":[0.9166015,0.07019648,0.001819787,0.002124874,0.006539145,0.002718234],"domain_scores_gemma":[0.9096125,0.0594808,0.01073473,0.008651628,0.005176132,0.006344289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004500218,0.0001932899,0.004561595,0.0008826655,0.00004961787,0.001233791,0.4061327,0.0006576187,0.0008951976,0.5090131,0.01462943,0.06170598],"study_design_scores_gemma":[0.00002845468,0.0002564886,0.003220979,0.003178898,0.00004567677,0.003068237,0.2932922,0.0005307664,0.001637832,0.4374804,0.2571478,0.000112252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0481305,0.008574927,0.09282213,0.6025198,0.001499917,0.0006674788,0.00003939154,0.0002923018,0.2454535],"genre_scores_gemma":[0.9049101,0.005039492,0.0329633,0.04673094,0.0006019828,0.0005228758,0.00002588603,0.00008969015,0.009115743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.076808,"threshold_uncertainty_score":0.4062044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2048756797671966,"score_gpt":0.4008653284319842,"score_spread":0.1959896486647876,"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."}}