{"id":"W2135737066","doi":"10.1089/tmj.2011.0014","title":"Evaluation of txt2MEDLINE and Development of Short Messaging Service–Optimized, Clinical Practice Guidelines in Botswana","year":2011,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mobile phone; The Internet; Phone; Service (business); MEDLINE; Short Message Service; Health care; Usability; World Wide Web; Medicine; Computer science; Business; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.04080726,0.0005946666,0.0004973813,0.001218484,0.001126347,0.001639595,0.001705728,0.0009004433,0.003280123],"category_scores_gemma":[0.06627991,0.0005975056,0.0005996327,0.001281072,0.0005636522,0.001214994,0.002107479,0.0009456204,0.0005526461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00601083,"about_ca_system_score_gemma":0.01906093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01774214,"about_ca_topic_score_gemma":0.03647629,"domain_scores_codex":[0.979899,0.01602168,0.001597092,0.0004595316,0.001245497,0.000777188],"domain_scores_gemma":[0.9573652,0.02177969,0.005086593,0.001580502,0.009925152,0.004262799],"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":[0.01825386,0.01467162,0.1361073,0.008459839,0.0004731027,0.002758601,0.03226636,0.002990676,0.01498722,0.001092084,0.01496433,0.752975],"study_design_scores_gemma":[0.03109614,0.1294437,0.6377012,0.0075302,0.001595715,0.002510876,0.05200799,0.01704555,0.01951622,0.0008539542,0.1002698,0.0004286325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621919,0.0008529145,0.003195861,0.004460743,0.000167093,0.02286559,0.001571152,0.0003345452,0.0043601],"genre_scores_gemma":[0.904749,0.001363647,0.06325159,0.002367214,0.00006521175,0.02378132,0.001813399,0.00009006622,0.002518545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04080726,"threshold_uncertainty_score":0.215812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4415391724166525,"score_gpt":0.5897029686973745,"score_spread":0.148163796280722,"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."}}