{"id":"W3166858036","doi":"10.2196/28964","title":"An innovative mobile application for gestational diabetes health education during the COVID-19 pandemic (Preprint)","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Medical Sciences","keywords":"Gestational diabetes; Pandemic; Preprint; The Internet; Medicine; Pregnancy; Promotion (chess); Coronavirus disease 2019 (COVID-19); Telemedicine; Mobile apps; Medical education; Obstetrics; Health care; Computer science; Political science; Internal medicine; Gestation; World Wide Web","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":[0.0006313447,0.0001510492,0.0002161225,0.0001492217,0.0003296519,0.00006621746,0.0001497843,0.00005102906,0.0001171055],"category_scores_gemma":[0.000510828,0.0001251783,0.00006613894,0.0005760236,0.00009551608,0.0001754597,0.00006279193,0.00016735,0.00002695986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004429715,"about_ca_system_score_gemma":0.001637877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001596946,"about_ca_topic_score_gemma":0.00002162274,"domain_scores_codex":[0.9982606,0.0001389451,0.0003307258,0.0004543243,0.000379807,0.000435647],"domain_scores_gemma":[0.9979516,0.0004270318,0.0001573763,0.0004355702,0.0007153734,0.0003130412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000511107,0.001080419,0.8578264,0.002395654,0.0001736226,6.242251e-7,0.001325272,0.0007038661,0.05564077,0.005089913,0.007324826,0.06838752],"study_design_scores_gemma":[0.001337559,0.0004308781,0.8712244,0.0000734172,0.0000207339,0.00000214167,0.001498309,0.001852232,0.005495361,0.004433256,0.1134218,0.0002099607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871391,0.0005628063,0.0007463942,0.007469912,0.00008934121,0.003609631,0.0001023755,0.0001106878,0.0001697693],"genre_scores_gemma":[0.9751248,0.0000772646,0.001405551,0.007788255,0.000202817,0.01204516,0.002149408,0.00002798862,0.001178778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060969,"threshold_uncertainty_score":0.5104624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721822341112202,"score_gpt":0.3923686001678218,"score_spread":0.3651503767566998,"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."}}