{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01747895,0.0006297547,0.0008852779,0.000860858,0.0008487004,0.001263533,0.0005983288,0.0005976058,0.001449318],"category_scores_gemma":[0.01721738,0.000578353,0.001961411,0.000695529,0.0006460454,0.0009451317,0.0007846035,0.0007115375,0.0003282874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038229,"about_ca_system_score_gemma":0.001116276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888158,"about_ca_topic_score_gemma":0.00259425,"domain_scores_codex":[0.9905747,0.006221077,0.001089986,0.000509104,0.001243612,0.0003616378],"domain_scores_gemma":[0.9828795,0.01025418,0.002362382,0.00138799,0.00234769,0.0007683507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01972415,0.07104567,0.7357836,0.002398071,0.002517296,0.0003797404,0.0351772,0.0004315005,0.005052252,0.0001984886,0.0006863854,0.1266057],"study_design_scores_gemma":[0.004047611,0.1667501,0.8059746,0.0003710381,0.001381758,0.0003372924,0.01362522,0.002190214,0.003197441,0.0001891896,0.001800873,0.0001345022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988386,0.00006283155,0.0002034814,0.00001409467,0.000004661607,0.0005827676,0.00004617915,0.000004458167,0.0002428651],"genre_scores_gemma":[0.9956208,0.0001712095,0.001691685,0.00007386071,0.00001921633,0.001862176,0.0001120437,0.000005595403,0.0004434737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747895,"threshold_uncertainty_score":0.0924387,"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."}}