{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008009096,0.00007921248,0.0001704113,0.000141977,0.0008583575,0.000004131861,0.00004545133,0.00001700049,0.00006228478],"category_scores_gemma":[0.00007488525,0.00008933846,0.00002711844,0.0002735492,0.00001591941,0.00007957371,0.00007928701,0.0002213809,0.00001100145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742292,"about_ca_system_score_gemma":0.0002859073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009462239,"about_ca_topic_score_gemma":0.00002120866,"domain_scores_codex":[0.998972,0.0001881867,0.00020281,0.0002241466,0.0002206937,0.0001921758],"domain_scores_gemma":[0.999454,0.00006358894,0.00008348519,0.0001454577,0.00003710361,0.0002163564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006975856,0.001598273,0.02242585,0.0002356804,0.0001475523,0.00002440516,0.9599274,0.002473535,0.001901873,0.002275946,0.005647985,0.002643949],"study_design_scores_gemma":[0.009704944,0.003916318,0.1525807,0.0003817502,0.0002065817,0.0001421238,0.7719331,0.0233268,0.0001617404,0.003683096,0.03297443,0.0009884033],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989028,0.0008774234,0.004854547,0.002543257,0.0001641379,0.0009318711,0.0001108602,0.00006647073,0.001423424],"genre_scores_gemma":[0.974097,0.000007667431,0.02316467,0.002230871,0.00007516234,0.00009946438,0.0001930724,0.00001481235,0.0001173074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1879943,"threshold_uncertainty_score":0.6601879,"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."}}