{"id":"W2054612823","doi":"10.14740/jcgo.v3i1.237","title":"E-mail Communication in the OB/GYN Office: Analysis of Patient E-mails to Their OB/GYN","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Gynecology and Obstetrics","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medical prescription; Family medicine; Observational study; Electronic mail; Obstetrics and gynaecology; Test (biology); Primary care; Pregnancy; Internal medicine; Nursing; Internet privacy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004874481,0.0001127803,0.000645912,0.000506231,0.00008043355,0.00007978066,0.001873505,0.0001619769,0.00001744883],"category_scores_gemma":[0.01727642,0.00007183324,0.0002737353,0.001983452,0.0001496988,0.0002678653,0.0004035969,0.0005734354,0.000005848137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002549567,"about_ca_system_score_gemma":0.00008399865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007710408,"about_ca_topic_score_gemma":0.0001134955,"domain_scores_codex":[0.996326,0.001449109,0.001586988,0.0001680971,0.0002970991,0.0001727406],"domain_scores_gemma":[0.9692566,0.02817407,0.001035133,0.00107124,0.0003315196,0.0001314673],"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":[0.0001189555,0.002069998,0.09069064,0.0000235228,0.0005697629,0.00002459588,0.006241275,0.001643245,0.00001404045,0.06335654,0.001273982,0.8339735],"study_design_scores_gemma":[0.001414989,0.001799823,0.824807,0.00004179821,0.0002352977,0.00001857975,0.001631561,0.01025494,0.00003371884,0.003410481,0.1561137,0.0002381236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731958,0.001604061,0.008856124,0.004197328,0.0004022523,0.0001759866,0.000004026139,0.00001178408,0.01155266],"genre_scores_gemma":[0.9915228,0.0005020432,0.004341829,0.003583452,0.00001260508,0.000002584837,0.000002592252,0.00000359652,0.0000284473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8337353,"threshold_uncertainty_score":0.9910015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391276195451309,"score_gpt":0.3384528089939113,"score_spread":0.3045400470393982,"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."}}