{"id":"W2801877404","doi":"10.12788/jhm.2959","title":"A Matter of Urgency: Reducing Clinical Text Message Interruptions During Educational Sessions","year":2018,"lang":"en","type":"article","venue":"Journal of Hospital Medicine","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; University Health Network","funders":"University of Toronto","keywords":"Medicine; Psychological intervention; Phone; Audit; Hospital medicine; Nursing; Medical emergency; Medical education; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005519143,0.0004909966,0.0005167986,0.001100839,0.0006808063,0.001282249,0.001048173,0.0008060187,0.002848892],"category_scores_gemma":[0.0427572,0.0002563599,0.0006028733,0.0005415796,0.0003629347,0.001042055,0.001213631,0.0009181717,0.0003738168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009141415,"about_ca_system_score_gemma":0.002638563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002704599,"about_ca_topic_score_gemma":0.002668833,"domain_scores_codex":[0.9959739,0.002173708,0.0003085508,0.0003754391,0.000823496,0.0003448668],"domain_scores_gemma":[0.9830623,0.007317829,0.005805166,0.0005918943,0.001374537,0.001848365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002714275,0.006815492,0.1198291,0.002942507,0.0003222682,0.0001089871,0.004754315,0.001420699,0.004363243,0.0003410932,0.007156448,0.8492317],"study_design_scores_gemma":[0.001215242,0.01601831,0.9503423,0.00218532,0.0008654437,0.0003553556,0.003717389,0.005796483,0.005089508,0.0008706013,0.01343658,0.0001074509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760937,0.002980816,0.009110322,0.003538033,0.0002522349,0.00119714,0.0002211184,0.000625869,0.005980789],"genre_scores_gemma":[0.9819483,0.0008993319,0.01482179,0.0006052426,0.0002326468,0.0005963643,0.0001496575,0.00002999025,0.0007168092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005519143,"threshold_uncertainty_score":0.02918833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610679502133468,"score_gpt":0.3831378866503906,"score_spread":0.3570310916290559,"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."}}