{"id":"W4411556844","doi":"10.62647/ijitce2025v13i2spp618-631","title":"Nutri Buddy AI-Your-Powered Nutrition and Diet Companion","year":2025,"lang":"en","type":"article","venue":"International jounal of information technology and computer engineering.","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Food science; Communication; Psychology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005677725,0.001390494,0.0006336911,0.0005450509,0.0003276521,0.00186014,0.001892818,0.00147571,0.1236013],"category_scores_gemma":[0.002793051,0.0005728381,0.0008198177,0.0002411284,0.0002395432,0.002025582,0.002914859,0.001081869,0.06783044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077554,"about_ca_system_score_gemma":0.0004731667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006947993,"about_ca_topic_score_gemma":0.001949522,"domain_scores_codex":[0.9996748,0.00006727922,0.00002196928,0.00008461237,0.0001064656,0.00004494119],"domain_scores_gemma":[0.9989091,0.0004668196,0.0000413568,0.0001774832,0.0001755586,0.0002297279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001743027,0.0004809764,0.004226351,0.001187751,0.00008047522,0.001046126,0.0007203798,0.0003806443,0.008772193,0.004610068,0.7561283,0.2206238],"study_design_scores_gemma":[0.0002139328,0.0003836443,0.006595218,0.0003889444,0.00008513831,0.001824778,0.0002661949,0.004972602,0.004941234,0.004796151,0.9754103,0.0001219364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04661515,0.007045101,0.1062843,0.007269271,0.003248024,0.002125707,0.02966642,0.3374894,0.4602566],"genre_scores_gemma":[0.1680111,0.004095954,0.1933782,0.01439187,0.0008553815,0.002921871,0.03349807,0.02550196,0.5573456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1236013,"threshold_uncertainty_score":0.4134875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003865862752796555,"score_gpt":0.2314173490298744,"score_spread":0.2275514862770779,"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."}}