{"id":"W4413953157","doi":"10.2196/76986","title":"Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient Education?","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; University of Toronto; McGill University Health Centre","funders":"","keywords":"Preprint; Natural (archaeology); Computer science; Artificial intelligence; Psychology; Medical education; Medicine; World Wide Web; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001664117,0.0003399873,0.0004310796,0.0006479995,0.0001757577,0.0001682444,0.000154322,0.0000945094,0.00002630928],"category_scores_gemma":[0.00002681802,0.000258699,0.00005304601,0.0008539057,0.0001229398,0.0002390113,0.0003124737,0.000301886,0.00001029102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008108863,"about_ca_system_score_gemma":0.000113199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003741626,"about_ca_topic_score_gemma":0.000005824934,"domain_scores_codex":[0.997938,0.00005942481,0.0002707293,0.000587382,0.0004237216,0.000720722],"domain_scores_gemma":[0.9989654,0.0001039189,0.00008124364,0.0004331768,0.0001884279,0.0002277838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000453167,0.0007740617,0.8761013,0.003866619,0.000727397,0.000009340812,0.001230252,0.00001100175,0.000275072,0.0007911499,0.01368062,0.1024879],"study_design_scores_gemma":[0.006309911,0.003051274,0.9322699,0.002449652,0.00239662,6.686356e-7,0.004297232,0.02024652,0.003527311,0.002992454,0.02046705,0.001991463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747249,0.0164716,0.000001041918,0.002377848,0.0002535929,0.001668359,0.000008675997,0.0001777901,0.004316119],"genre_scores_gemma":[0.9912015,0.0002615476,0.0005096955,0.002799959,0.0001344998,0.0004416428,0.00007211219,0.00004327675,0.004535743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1004965,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004475897851181842,"score_gpt":0.2623500737538364,"score_spread":0.2578741759026545,"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."}}