{"id":"W4409919588","doi":"10.1016/j.mlwa.2025.100659","title":"Going vegan with ChatGPT: Towards designing LLMs for personalized lifestyle changes","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Vegan Diet; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001007733,0.0003369907,0.0004811782,0.0003040443,0.003829034,0.00003269722,0.0003329028,0.0002124273,0.0001249846],"category_scores_gemma":[0.0001888141,0.0002678502,0.00005746341,0.001047113,0.0001466984,0.00007868098,0.00007629066,0.001104751,0.0001087114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295506,"about_ca_system_score_gemma":0.001290477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003991781,"about_ca_topic_score_gemma":0.001057102,"domain_scores_codex":[0.9971963,0.000287043,0.0005390315,0.0007202902,0.0002620786,0.0009952436],"domain_scores_gemma":[0.9970707,0.001090377,0.000457287,0.0005951912,0.0004103716,0.0003761077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002080192,0.0005900714,0.2733848,0.007086762,0.0003539334,0.00000324031,0.005368792,0.00133448,0.001359081,0.4583303,0.008861016,0.2412473],"study_design_scores_gemma":[0.002665104,0.0003037741,0.004578926,0.0004247073,0.0001224998,0.000004141443,0.0007940883,0.003249323,0.00007088735,0.0004572862,0.9870432,0.0002860821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004904371,0.001627461,0.9313181,0.02511024,0.0001182119,0.01681218,0.0001016348,0.00106456,0.01894325],"genre_scores_gemma":[0.4152887,0.0007529036,0.1327593,0.01263803,0.001033091,0.3647751,0.001254867,0.0002874153,0.07121056],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9781821,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500127373466983,"score_gpt":0.3857351409685599,"score_spread":0.3607338672338901,"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."}}