{"id":"W3205696186","doi":"10.2196/resprot.4206","title":"The Mobile Insulin Titration Intervention (MITI) for Insulin Glargine Titration in an Urban, Low-Income Population: Randomized Controlled Trial Protocol","year":2015,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; York University","keywords":"Insulin glargine; Medicine; Population; Insulin; Randomized controlled trial; Intervention (counseling); Internal medicine; Nursing; Hypoglycemia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.009220746,0.005662864,0.007997972,0.002051331,0.001922727,0.002855028,0.00280839,0.005836086,0.04515519],"category_scores_gemma":[0.01097172,0.001877846,0.003787352,0.002172516,0.002314887,0.002678515,0.001391115,0.006753717,0.005041017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699901,"about_ca_system_score_gemma":0.008355497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002801782,"about_ca_topic_score_gemma":0.005719355,"domain_scores_codex":[0.9929373,0.004078394,0.0006550024,0.0007294515,0.0005866326,0.001013191],"domain_scores_gemma":[0.9958217,0.001350366,0.0009274586,0.0002811648,0.0006980312,0.0009212114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.964443,0.008408555,0.0005162539,0.00757119,0.001788982,0.0001030006,0.0001219771,0.0006251548,0.0006047396,0.0008118693,0.005779641,0.009225555],"study_design_scores_gemma":[0.9854438,0.009355555,0.0006210991,0.0004041771,0.0006069787,0.00001499965,0.00002948753,0.0007788583,0.000138005,0.0003917258,0.002192302,0.00002295121],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0177769,0.001316114,0.001983418,0.0006967144,0.000818338,0.9721193,0.002640055,0.0003019481,0.002347217],"genre_scores_gemma":[0.01554912,0.0004844759,0.002433871,0.0004534921,0.0001262949,0.9794605,0.0003532002,0.0000131757,0.001125868],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04515519,"threshold_uncertainty_score":0.1510592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2268061230640897,"score_gpt":0.6250962961992776,"score_spread":0.3982901731351879,"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."}}