{"id":"W2618252612","doi":"10.2196/resprot.7743","title":"An mHealth Framework to Improve Birth Outcomes in Benue State, Nigeria: A Study Protocol","year":2017,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Fogarty International Center; National Institutes of Health","keywords":"mHealth; Protocol (science); Medicine; Psychology; Computer science; Medical education; Psychological intervention; Nursing; Alternative medicine","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01149475,0.0004390797,0.0009398968,0.0007703237,0.006173867,0.0002723818,0.002487008,0.0004973185,0.000568234],"category_scores_gemma":[0.002648987,0.0003675474,0.00007503817,0.0007866982,0.0002216078,0.0005765594,0.0009665964,0.004687962,0.001704208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008961221,"about_ca_system_score_gemma":0.004598237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972905,"about_ca_topic_score_gemma":0.01014449,"domain_scores_codex":[0.9876275,0.004010849,0.001925363,0.001482063,0.001539038,0.003415164],"domain_scores_gemma":[0.9897939,0.001161285,0.0007489938,0.004943789,0.000967143,0.002384917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002084572,0.004876757,0.9524833,0.003079267,0.000009739812,0.00002623176,0.005265836,0.000002950664,0.0001183426,0.0009529201,0.006381635,0.02471843],"study_design_scores_gemma":[0.005278172,0.004655012,0.6273752,0.001453184,4.842364e-7,3.03881e-7,0.00149006,0.0000151282,0.00001691151,0.003975957,0.35547,0.0002694994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.02293066,4.485533e-7,0.0001132753,0.003816744,0.00005557577,0.9709399,0.0001271155,0.0002069334,0.001809354],"genre_scores_gemma":[0.0162175,6.887612e-7,0.001453309,0.001069565,0.0005424279,0.9780568,0.00000680507,0.0001247185,0.002528137],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3490884,"threshold_uncertainty_score":0.9998776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2973953747079962,"score_gpt":0.695751271187992,"score_spread":0.3983558964799958,"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."}}