{"id":"W2144447924","doi":"10.1111/jlme.12095","title":"Supporting Second Victims of Patient Safety Events: Shouldn't These Communications Be Covered by Legal Privilege?","year":2013,"lang":"en","type":"article","venue":"The Journal of Law Medicine & Ethics","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"Johns Hopkins University","keywords":"Privilege (computing); Harm; Ambiguity; Legislation; Malpractice; Statutory law; Health care; Public relations; State (computer science); Law; Internet privacy; Business; Medicine; 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":[0.03392449,0.0002607057,0.0004619536,0.001479138,0.008671107,0.006962477,0.002774754,0.01273146,0.00441262],"category_scores_gemma":[0.1498533,0.0004603202,0.0007886017,0.0007142918,0.01108481,0.01061324,0.007062999,0.009314038,0.000540975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003251062,"about_ca_system_score_gemma":0.02879663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249286,"about_ca_topic_score_gemma":0.02673136,"domain_scores_codex":[0.9767719,0.0132477,0.001397512,0.001005454,0.003561321,0.004016151],"domain_scores_gemma":[0.8658748,0.08877303,0.01687854,0.007734348,0.01020668,0.01053262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002579935,0.001002212,0.1630296,0.0007730119,0.0001327884,0.006097116,0.1766099,0.0008539465,0.00314999,0.2972044,0.08162273,0.2692663],"study_design_scores_gemma":[0.0002429874,0.001217324,0.1258763,0.009938412,0.0003617359,0.01083968,0.3036478,0.003267879,0.006327073,0.2144987,0.3234021,0.0003800228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3690631,0.003626175,0.006723526,0.5847254,0.001337972,0.0001749811,0.00006161129,0.0001048651,0.03418241],"genre_scores_gemma":[0.9193704,0.001172398,0.003561294,0.07256002,0.0004609195,0.0001328439,0.00002167781,0.00001922196,0.002701163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03392449,"threshold_uncertainty_score":0.179412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1360270573314917,"score_gpt":0.4964258599256148,"score_spread":0.3603988025941231,"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."}}