{"id":"W2184224772","doi":"10.2196/medinform.4797","title":"Resident Use of Text Messaging for Patient Care: Ease of Use or Breach of Privacy?","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Short Message Service; Text messaging; Confidentiality; Paging; Internet privacy; Medicine; Usability; Protected health information; Identifier; Credential; Family medicine; Medical emergency; Computer science; Computer security; Nursing; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006334718,0.0001812174,0.0003191498,0.0005097135,0.0003220801,0.001089879,0.0003749225,0.0004760138,0.002893653],"category_scores_gemma":[0.03238634,0.000125755,0.0004876149,0.0006014079,0.000813736,0.001391584,0.0006407528,0.0005771454,0.0003419645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676333,"about_ca_system_score_gemma":0.0005760923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008701016,"about_ca_topic_score_gemma":0.001544333,"domain_scores_codex":[0.9954882,0.002344928,0.0005278231,0.0001315301,0.001185103,0.000322452],"domain_scores_gemma":[0.9814878,0.007378528,0.007407311,0.000441862,0.002306292,0.0009782584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005619139,0.0002064463,0.8518112,0.0009606345,0.0002551492,0.0003798164,0.01037561,0.0001492606,0.001528552,0.0004621492,0.003954448,0.1293547],"study_design_scores_gemma":[0.00004258983,0.001652775,0.947597,0.001171759,0.0002206808,0.003724912,0.03500435,0.0006817643,0.001269504,0.0007080511,0.0078602,0.00006648293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896946,0.00249498,0.0008382091,0.003234431,0.00009104736,0.00003094607,0.0001178082,0.00001359497,0.003484364],"genre_scores_gemma":[0.9981701,0.000752744,0.0005089295,0.0003452772,0.00003884763,0.00001120673,0.00002738681,0.000003513813,0.0001420681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006334718,"threshold_uncertainty_score":0.03350163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338799490278076,"score_gpt":0.4610658875412161,"score_spread":0.3271859385134085,"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."}}