{"id":"W4391014840","doi":"10.21203/rs.3.rs-3838327/v1","title":"Text Messaging to Improve Retention in Hypertension Care in Bangladesh","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"Bloomberg Philanthropies; Bill and Melinda Gates Foundation","keywords":"Attendance; Medicine; Text messaging; Text message; Randomized controlled trial; Short Message Service; Pediatrics; Primary care; Family medicine; Internal medicine; World Wide Web","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":[0.002532574,0.0002515799,0.0004235558,0.000505235,0.001052844,0.0009941775,0.0008219849,0.0005291405,0.009541294],"category_scores_gemma":[0.0121812,0.0001502846,0.0003578743,0.001320796,0.0004581904,0.0008862751,0.001137487,0.001396751,0.001046918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255636,"about_ca_system_score_gemma":0.00582593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07999503,"about_ca_topic_score_gemma":0.0586677,"domain_scores_codex":[0.9987051,0.0004951386,0.0001297725,0.00008381915,0.0002109125,0.0003751199],"domain_scores_gemma":[0.9951335,0.001836436,0.0007360294,0.0001459978,0.0008999077,0.001248151],"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":[0.005263529,0.008195546,0.4276403,0.002117942,0.0002452027,0.0007129573,0.02218119,0.000684435,0.00234178,0.001056848,0.01938274,0.5101775],"study_design_scores_gemma":[0.002032625,0.01986178,0.8882979,0.00309874,0.0008829787,0.0004343758,0.05808526,0.003261857,0.00309642,0.001625539,0.01911271,0.0002098925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839216,0.001236378,0.0002480966,0.0059553,0.0001556011,0.0002590266,0.001007505,0.00003874105,0.007177646],"genre_scores_gemma":[0.9943615,0.0009524521,0.0004250159,0.0006804565,0.00007487524,0.000239796,0.0002597503,0.0000117166,0.002994417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07999503,"threshold_uncertainty_score":0.1590588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179591816935054,"score_gpt":0.5107747474337969,"score_spread":0.3928155657402915,"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."}}