{"id":"W2899414799","doi":"10.1017/s1049023x18000912","title":"A Randomized Trial Comparing Telephone Tree, Text Messaging, and Instant Messaging App for Emergency Department Staff Recall for Disaster Response","year":2018,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; University of Alberta; Université de Montréal; McGill University Health Centre","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; McGill University Health Centre; Microsoft","keywords":"Phone; Emergency department; Medicine; Medical emergency; Confidence interval; Randomized controlled trial; Short Message Service; Recall; Psychology; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004155431,0.001827408,0.004108341,0.0008376381,0.0009590029,0.001693332,0.001803017,0.00330313,0.01571778],"category_scores_gemma":[0.01043612,0.0009662064,0.002541543,0.0006756886,0.001580445,0.002083377,0.0008875761,0.003798811,0.001391011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018504,"about_ca_system_score_gemma":0.00318969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002459252,"about_ca_topic_score_gemma":0.004531061,"domain_scores_codex":[0.9951572,0.003049317,0.0004684948,0.0005978235,0.0003433775,0.000383861],"domain_scores_gemma":[0.9939938,0.003141633,0.001167948,0.0002735672,0.0003506079,0.001072411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9759754,0.009226047,0.0002653206,0.001757261,0.0008361476,0.00003059286,0.00008520526,0.0001465955,0.0003962932,0.0001479586,0.0005539648,0.01057928],"study_design_scores_gemma":[0.9190131,0.07877804,0.0006868433,0.0001581242,0.0004451867,0.00001139415,0.00005511435,0.000224369,0.0001128118,0.0001532853,0.0003491663,0.00001249957],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498837,0.007339053,0.00170198,0.001580808,0.003385965,0.03083083,0.001264483,0.0002799042,0.00373337],"genre_scores_gemma":[0.9277054,0.00301785,0.006960215,0.001978168,0.001116828,0.05450633,0.00055057,0.0000326159,0.004132045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571778,"threshold_uncertainty_score":0.05258119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05410093735602832,"score_gpt":0.3913356812136348,"score_spread":0.3372347438576065,"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."}}