{"id":"W2926642108","doi":"10.2196/11343","title":"Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Provincia Autonoma di Trento","keywords":"Diabetes management; Qualitative research; Health care; Content analysis; Psychology; Text messaging; Medicine; Type 2 diabetes; Medical education; Nursing; Family medicine; Diabetes mellitus; Internet privacy; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009086542,0.0002550455,0.0004740237,0.0002651911,0.001284075,0.00002409861,0.0001316773,0.0000775707,0.0001636552],"category_scores_gemma":[0.0000431521,0.0002283866,0.00002929579,0.0003713236,0.00005900201,0.0004243032,0.0002933689,0.0005823196,0.0001504618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016311,"about_ca_system_score_gemma":0.000135663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008465787,"about_ca_topic_score_gemma":0.0001343481,"domain_scores_codex":[0.996687,0.0008029479,0.0007580438,0.000601591,0.0002751269,0.0008753192],"domain_scores_gemma":[0.9978254,0.0007024908,0.0004257906,0.0003731698,0.0002359725,0.0004371692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001036259,0.0002302845,0.8987329,0.00237109,0.0000446826,1.218822e-7,0.08284719,4.269153e-7,0.000002828161,0.0007851094,0.00308813,0.01188686],"study_design_scores_gemma":[0.001184042,0.0002658541,0.7470391,0.0007293115,0.00001842681,1.278154e-8,0.2392385,0.00003064457,0.000003346665,0.00009216118,0.01121823,0.0001803863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844276,0.0009802131,0.000001002221,0.001303112,0.000677575,0.01014958,0.00003870828,0.0001326209,0.002289577],"genre_scores_gemma":[0.9773464,0.0001688851,0.0001545617,0.001878068,0.0000717955,0.019165,0.0001085557,0.00004742498,0.001059337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563914,"threshold_uncertainty_score":0.9876199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06863962162788441,"score_gpt":0.468624871879478,"score_spread":0.3999852502515936,"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."}}