{"id":"W2760931811","doi":"10.2196/diabetes.8045","title":"Functionality, Implementation, Impact, and the Role of Health Literacy in Mobile Phone Apps for Gestational Diabetes: Scoping Review","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gestational diabetes; Mobile phone; Mobile apps; Promotion (chess); Computer science; Internet privacy; Multimedia; Medicine; World Wide Web; Pregnancy; Gestation; Telecommunications; Political 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003749354,0.0001644396,0.000623026,0.0000906045,0.001674242,0.00002509647,0.0002325877,0.00007337481,0.0002778459],"category_scores_gemma":[0.0003188342,0.000120298,0.0000919813,0.0001343813,0.0001771629,0.0002639272,0.0001049572,0.0002515185,0.00001545363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309722,"about_ca_system_score_gemma":0.001196192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003119147,"about_ca_topic_score_gemma":0.0003015995,"domain_scores_codex":[0.9969167,0.0005173084,0.001373468,0.0003090347,0.0002125445,0.0006709165],"domain_scores_gemma":[0.9955862,0.001975324,0.001379993,0.0005497878,0.0003175521,0.0001911506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004297527,0.00009912433,0.6953572,0.02452093,0.00002425661,1.65503e-8,0.001093097,0.000003138535,0.00002958258,0.004158328,0.005290523,0.2693809],"study_design_scores_gemma":[0.00809061,0.0002747985,0.879719,0.0315439,0.00004225851,2.333318e-7,0.001001589,0.0005799372,0.00003999807,0.02595423,0.05245903,0.0002944436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7166883,0.2131462,0.0001096435,0.02019517,0.0003401106,0.04811483,0.0008807118,0.00006576652,0.0004591741],"genre_scores_gemma":[0.8146135,0.02434752,0.0007059474,0.00766506,0.000231805,0.1517497,0.0005729996,0.00003921608,0.00007430423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2690864,"threshold_uncertainty_score":0.9996254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475478676165253,"score_gpt":0.5093857524680564,"score_spread":0.4646309657064039,"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."}}