{"id":"W2943046719","doi":"10.1017/cem.2019.322","title":"P131: An environmental scan of patient emailing and texting practices at Ontario emergency departments","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snowball sampling; Phone; Medicine; Emergency department; Informed consent; Family medicine; Medical emergency; Electronic mail; Nursing; Internet privacy; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004260409,0.0002735263,0.000150049,0.002600123,0.001812467,0.0008679801,0.0007259948,0.0006830202,0.004535038],"category_scores_gemma":[0.002829867,0.0003470714,0.0002113479,0.004415036,0.000516688,0.0005052359,0.001156815,0.0004741801,0.0007891246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004844582,"about_ca_system_score_gemma":0.007173671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7532967,"about_ca_topic_score_gemma":0.8598577,"domain_scores_codex":[0.9989365,0.0001073938,0.00008250759,0.0001202768,0.0005089779,0.0002443498],"domain_scores_gemma":[0.9956505,0.0005955641,0.0009400095,0.0001221084,0.002152079,0.0005397536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001998345,0.0001033959,0.9422587,0.0001760606,0.00003043596,0.002867701,0.01242517,0.000160394,0.005320782,0.0001552192,0.01440621,0.02189611],"study_design_scores_gemma":[0.000001662675,0.00001995213,0.9922959,0.00002086501,0.00000397604,0.0001575574,0.003697525,0.00007148301,0.0002277491,0.00001088143,0.003486071,0.000006511802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685846,0.0001413615,0.0003287239,0.001008919,0.00002181385,0.0001372479,0.01542147,0.00008661973,0.01426914],"genre_scores_gemma":[0.9830483,0.0002626286,0.000983314,0.0004828025,0.00003416904,0.0001355971,0.006365351,0.00004825642,0.008639512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2467033,"threshold_uncertainty_score":0.4963124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425908049340692,"score_gpt":0.2939809334767008,"score_spread":0.2397218529832939,"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."}}