{"id":"W4365935665","doi":"10.2196/43959","title":"Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Diabetes UK","keywords":"Usability; Prediabetes; Medicine; Social media; Diabetes mellitus; Diabetes management; Gerontology; World Wide Web; Computer science; Type 2 diabetes","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":[0.003337691,0.0002284339,0.0005128438,0.0004754596,0.0007493381,0.000009161862,0.0002838775,0.0001737657,0.0001355406],"category_scores_gemma":[0.000197252,0.0002089171,0.00006015677,0.0007638753,0.0001154092,0.0001636124,0.0003304797,0.0005890074,0.00003065715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477968,"about_ca_system_score_gemma":0.0001061711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002949098,"about_ca_topic_score_gemma":0.0008075776,"domain_scores_codex":[0.9957437,0.0008220199,0.001688872,0.0005994649,0.0002813239,0.0008646381],"domain_scores_gemma":[0.9973626,0.001100113,0.0004561315,0.0006375643,0.00006691278,0.0003767001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001358438,0.001712282,0.6503345,0.001832941,0.00003836969,0.000005467102,0.02703675,0.00005807426,0.0002718101,0.001256463,0.000157749,0.3171598],"study_design_scores_gemma":[0.0003437334,0.0007657349,0.9457437,0.00009379844,0.00002522266,4.692367e-8,0.048696,0.000889146,0.00009297371,0.00297214,0.0002227766,0.0001547231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903131,0.00001697368,0.00004421709,0.00009117255,0.0002433333,0.008861197,0.00002311565,0.0001798746,0.00022704],"genre_scores_gemma":[0.9931589,0.00001464667,0.0008153701,0.0000600911,0.00006913456,0.005674262,0.0001284173,0.00003103962,0.00004812548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170051,"threshold_uncertainty_score":0.8519391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865774928228907,"score_gpt":0.5409146306580552,"score_spread":0.3543371378351645,"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."}}