{"id":"W2036151623","doi":"10.1111/acem.12325","title":"Conflict Prevention, Conflict Mitigation, and Manifestations of Conflict During Emergency Department Consultations","year":2014,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Emergency department; Realm; Medicine; Psychological intervention; Audit; Conflict analysis; Conflict resolution research; Conflict of interest; Trustworthiness; Role conflict; Conflict resolution; Nursing; Social psychology; Psychology; Sociology; Management; Law; Political science; Social 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":[0.008108206,0.000273783,0.0003075516,0.001585741,0.003005863,0.002027478,0.0007960295,0.0007526798,0.001517061],"category_scores_gemma":[0.05743052,0.0002735385,0.0002901199,0.001031709,0.001759083,0.001928122,0.002464281,0.001295751,0.0001204527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791244,"about_ca_system_score_gemma":0.004355015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00262741,"about_ca_topic_score_gemma":0.00377314,"domain_scores_codex":[0.9849727,0.0118959,0.0008092862,0.0003463011,0.001285166,0.000690661],"domain_scores_gemma":[0.9455311,0.03326804,0.01403481,0.0006978356,0.003740402,0.002727805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006104287,0.0004905832,0.519605,0.001786112,0.0001748261,0.002468097,0.3097701,0.0007254325,0.001349991,0.004652333,0.002623782,0.1557433],"study_design_scores_gemma":[0.00007025511,0.0005576699,0.5720859,0.001551503,0.0001189071,0.005531903,0.3955851,0.002969096,0.001393543,0.005872047,0.01415434,0.0001096391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802881,0.00235543,0.00507848,0.004127228,0.00006129071,0.0001825001,0.00006773052,0.00001960929,0.007819623],"genre_scores_gemma":[0.9974831,0.0004939624,0.001626478,0.0001074695,0.00001813117,0.0000572395,0.0000192784,0.000002636379,0.0001919752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008108206,"threshold_uncertainty_score":0.04288083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1750204807840665,"score_gpt":0.4566233197431581,"score_spread":0.2816028389590916,"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."}}