{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002370408,0.0001613017,0.000207409,0.0003231741,0.001254143,0.0003356919,0.002909408,0.00002418101,0.0003572492],"category_scores_gemma":[0.000176981,0.0001407294,0.00002120751,0.00136813,0.0001018922,0.003474825,0.002693961,0.0005574529,0.0001003694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465671,"about_ca_system_score_gemma":0.0007659057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001455,"about_ca_topic_score_gemma":0.0001760877,"domain_scores_codex":[0.9959633,0.0006977384,0.0003723119,0.000612137,0.00174361,0.0006109529],"domain_scores_gemma":[0.9938979,0.003802476,0.000162149,0.0009396161,0.001079884,0.0001179758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002388888,0.008550442,0.05243272,0.0002374841,0.002178169,0.00004009124,0.6782644,0.002784441,0.0008174439,0.1539435,0.08550724,0.01285518],"study_design_scores_gemma":[0.002856983,0.005958683,0.4147801,0.00005281627,0.000009062534,0.000003963542,0.1332008,0.3487889,0.0001432339,0.02775305,0.06582282,0.0006296101],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288701,0.00004033088,0.06390186,0.003231591,0.0001891909,0.001985767,0.001413419,0.00008759666,0.0002801282],"genre_scores_gemma":[0.9432061,0.000002753774,0.04718411,0.0002819874,0.00004989257,0.008038527,0.0008006052,0.00002371569,0.000412267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450636,"threshold_uncertainty_score":0.9645979,"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."}}