{"id":"W4205222728","doi":"10.2196/32815","title":"Development and Usability of a Text Messaging Program for Women With Gestational Diabetes: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Endocrine Fellows Foundation; Harvard Catalyst; National Institutes of Health; Harvard University","keywords":"Usability; Gestational diabetes; Medicine; Personalization; Short Message Service; Pregnancy; Computer science; Gestation; World Wide Web; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02174396,0.000897478,0.001409025,0.001191914,0.001673974,0.001655395,0.0009763286,0.001019616,0.002824192],"category_scores_gemma":[0.02471369,0.0007940196,0.001680558,0.001108413,0.000553963,0.001237914,0.001227399,0.0007674349,0.0005599388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740984,"about_ca_system_score_gemma":0.003211474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003404198,"about_ca_topic_score_gemma":0.004849548,"domain_scores_codex":[0.9896843,0.006628337,0.001178857,0.0007306694,0.001245699,0.0005320716],"domain_scores_gemma":[0.9833258,0.01017643,0.00170179,0.0009815946,0.003036296,0.0007780835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01295419,0.05269698,0.3033542,0.01221514,0.001842051,0.002147835,0.1893,0.000404885,0.007400562,0.0007172553,0.002631105,0.4143358],"study_design_scores_gemma":[0.01087577,0.2680393,0.4930986,0.005487872,0.004124938,0.001966709,0.1783588,0.003156381,0.007009192,0.0009784076,0.02632443,0.0005796386],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897916,0.0007002703,0.001398855,0.0001509007,0.00003517691,0.006561195,0.0002617253,0.00002276082,0.001077415],"genre_scores_gemma":[0.9501889,0.002333653,0.01497645,0.0009300872,0.0001028989,0.02881557,0.0004500308,0.00004871609,0.002153691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02174396,"threshold_uncertainty_score":0.1149944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08338775226073332,"score_gpt":0.5027767730203957,"score_spread":0.4193890207596624,"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."}}