{"id":"W4224119220","doi":"10.2196/28091","title":"Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"AI in Service Interactions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Haukeland Universitetssjukehus; Høgskulen på Vestlandet","keywords":"Chatbot; Observational study; Gestational diabetes; Descriptive statistics; Categorization; Medicine; Computer science; World Wide Web; Pregnancy; Artificial intelligence; Gestation; Statistics","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":[0.007479724,0.0003463848,0.0006835011,0.001996092,0.001591213,0.001323405,0.0007736827,0.000865898,0.001709571],"category_scores_gemma":[0.03217534,0.0005011674,0.000543364,0.001776899,0.0008476073,0.001296664,0.001869506,0.001159623,0.0006554589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384536,"about_ca_system_score_gemma":0.001335015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009227113,"about_ca_topic_score_gemma":0.01007863,"domain_scores_codex":[0.9947298,0.002955257,0.0005698228,0.0004877498,0.0007964271,0.0004610562],"domain_scores_gemma":[0.9694585,0.01652938,0.005341882,0.001209542,0.005378463,0.002082246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006775834,0.001183071,0.8277944,0.0008655017,0.00008367832,0.000810136,0.1453754,0.0001223051,0.001142042,0.0001810008,0.001957618,0.01980723],"study_design_scores_gemma":[0.00004951937,0.002296826,0.8347511,0.0004154124,0.00007536903,0.00086398,0.153777,0.001251943,0.0006296658,0.0001309392,0.005670019,0.00008824778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978668,0.00009294471,0.0004532082,0.0000840873,0.000005981989,0.0002696245,0.0007216337,0.00001012164,0.0004956756],"genre_scores_gemma":[0.9962248,0.0001739743,0.001049763,0.0001515446,0.00001378058,0.001179883,0.0007540325,0.00001244282,0.000439822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009227113,"threshold_uncertainty_score":0.03955704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3449167851117946,"score_gpt":0.4746217536102532,"score_spread":0.1297049684984585,"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."}}