{"id":"W2944174773","doi":"","title":"Review of emergency preparedness in the office setting: How best to prepare based on your practice and patient demographic characteristics.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Disaster Response and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Preparedness; Medical emergency; Medicine; Plan (archaeology); Best practice; Emergency department; Emergency management; Medical education; Nursing","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":[0.007626218,0.0005551729,0.001927651,0.005293276,0.0006989977,0.001660605,0.001545296,0.001370395,0.003324958],"category_scores_gemma":[0.06355994,0.0004376013,0.001002726,0.004574652,0.0005246696,0.002472516,0.0006796136,0.001180117,0.002102725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983743,"about_ca_system_score_gemma":0.01108645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007096288,"about_ca_topic_score_gemma":0.01991322,"domain_scores_codex":[0.9924469,0.002778809,0.002355362,0.0002935118,0.001971848,0.000153456],"domain_scores_gemma":[0.9250679,0.02460254,0.01181384,0.001367864,0.03551858,0.001629263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008622359,0.00006242166,0.005428473,0.05289253,0.0003033195,0.0003499944,0.0007015771,0.0001555833,0.0003795492,0.0004226137,0.3152688,0.6239489],"study_design_scores_gemma":[0.00009588088,0.0002927365,0.04409475,0.2033405,0.001064148,0.00250354,0.002615551,0.0002039809,0.0004299415,0.0009322932,0.744311,0.0001157363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00272631,0.9267532,0.001550961,0.049636,0.01265274,0.0004179628,0.0008084914,0.0001077901,0.005346619],"genre_scores_gemma":[0.02192943,0.9480937,0.006376801,0.01203188,0.007316091,0.0005695618,0.0009415021,0.00003966068,0.002701438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007626218,"threshold_uncertainty_score":0.04033178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05437667333544408,"score_gpt":0.3625220132216223,"score_spread":0.3081453398861782,"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."}}