{"id":"W4404840183","doi":"10.32920/27926463.v1","title":"Conflict prevention, conflict mitigation, and manifestations of conflict during emergency department consultations","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Ottawa","funders":"","keywords":"Emergency department; Conflict resolution; Conflict management; Armed conflict; Conflict analysis; Political science; Medical emergency; Psychology; Medicine; Nursing; Law","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":[0.008655525,0.0002375329,0.0002968411,0.001371254,0.003584783,0.002261619,0.0008751341,0.0008678318,0.002030068],"category_scores_gemma":[0.05710044,0.0003206875,0.0003829937,0.001066201,0.002079339,0.002385939,0.002982922,0.001570174,0.0001636824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003611772,"about_ca_system_score_gemma":0.00452017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003701254,"about_ca_topic_score_gemma":0.005613142,"domain_scores_codex":[0.9812202,0.01498002,0.001031552,0.0004424994,0.001380122,0.0009455096],"domain_scores_gemma":[0.9501284,0.03114664,0.01098234,0.0008338808,0.003659998,0.003248692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006497711,0.0004974327,0.3925813,0.001769577,0.0001717053,0.00300931,0.4327609,0.0008689787,0.001299967,0.005940944,0.004165604,0.1562845],"study_design_scores_gemma":[0.00008080964,0.0005696814,0.4281679,0.001626039,0.0001025626,0.004882589,0.5350726,0.002893076,0.001661659,0.006658114,0.01815226,0.000132638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775943,0.00171424,0.004957058,0.005696272,0.00006951067,0.0001904771,0.00007870862,0.00002078342,0.009678773],"genre_scores_gemma":[0.9977382,0.0003753385,0.001382881,0.0001496681,0.00001443893,0.00006661242,0.00001947166,0.000003118334,0.0002503472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008655525,"threshold_uncertainty_score":0.04577529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08403376200647811,"score_gpt":0.4473893799508457,"score_spread":0.3633556179443676,"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."}}