{"id":"W4225874034","doi":"10.2196/37882","title":"Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Universiteit Stellenbosch","keywords":"Chatbot; Medicine; Pandemic; Internet privacy; Telemedicine; Health care; Business; Nursing; Coronavirus disease 2019 (COVID-19); Computer science; World Wide Web; Political science; Infectious disease (medical specialty); Disease; Pathology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007534006,0.0002931953,0.0004736264,0.0001257273,0.005827784,0.00002572082,0.0009085361,0.00006360615,0.001378541],"category_scores_gemma":[0.0005318913,0.000154482,0.00009792252,0.00155492,0.0001103546,0.0000833728,0.000801189,0.0008420172,0.00002855435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005830817,"about_ca_system_score_gemma":0.001797177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006662259,"about_ca_topic_score_gemma":0.001441075,"domain_scores_codex":[0.9907553,0.005816377,0.001037637,0.0005548598,0.0007356218,0.001100155],"domain_scores_gemma":[0.9937286,0.003492775,0.0008858981,0.001223979,0.0002864221,0.0003823706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004626224,0.0001570334,0.963604,0.0004889845,0.00008407421,4.869565e-8,0.0194498,0.0002228045,0.002220592,0.0001450018,0.00310124,0.01048012],"study_design_scores_gemma":[0.001421724,0.0009479279,0.8935664,0.00004244928,0.0001450616,5.441688e-7,0.07093856,0.000192081,0.0004797344,0.000303173,0.03173928,0.0002230423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706584,0.0005596353,0.00001210259,0.01054807,0.001059031,0.01692717,0.00009571904,0.00009826924,0.00004163528],"genre_scores_gemma":[0.9060417,0.00003524702,0.0003172421,0.007622917,0.0001919556,0.08535036,0.00003308363,0.00005345777,0.0003539701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0700376,"threshold_uncertainty_score":0.9995343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149844010180448,"score_gpt":0.5388797006575031,"score_spread":0.4238952996394583,"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."}}