{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003584723,0.001383629,0.0005143324,0.0006857396,0.0004452587,0.002074878,0.002158943,0.001257973,0.008811051],"category_scores_gemma":[0.01975484,0.0006951447,0.001252994,0.0003994931,0.0006815016,0.00336024,0.002333969,0.002048374,0.00299292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007137705,"about_ca_system_score_gemma":0.001246088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919465,"about_ca_topic_score_gemma":0.005750241,"domain_scores_codex":[0.9978941,0.00127356,0.0001472616,0.0003512851,0.0002346041,0.00009921358],"domain_scores_gemma":[0.9909407,0.006825229,0.000308545,0.0008524614,0.0006911631,0.0003819059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003194718,0.002313025,0.02492269,0.005392388,0.0005673746,0.002435291,0.01851619,0.07485504,0.05709137,0.03369749,0.05879403,0.7182204],"study_design_scores_gemma":[0.0006720403,0.001380269,0.005536012,0.0008889619,0.0005567448,0.00113667,0.003630548,0.690275,0.02899232,0.05957515,0.2070584,0.000297849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0599321,0.0006699139,0.8753527,0.001808755,0.0002713683,0.001838765,0.002262107,0.04671283,0.01115137],"genre_scores_gemma":[0.2092063,0.0003373553,0.775299,0.001130419,0.00005660967,0.001974897,0.003655257,0.002050425,0.006289799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008811051,"threshold_uncertainty_score":0.02947593,"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."}}