{"id":"W4407377297","doi":"10.2196/62776","title":"NutriDiary, a Smartphone-Based Dietary Record App: Description and Usability Evaluation","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; System usability scale; Medicine; Population; Meal; Web usability; Computer science; Internal medicine; Environmental health","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":[0.00484392,0.000739494,0.0006685663,0.0008562266,0.0002783405,0.0006328645,0.0004598509,0.000568681,0.002148851],"category_scores_gemma":[0.006696859,0.000273088,0.0006343987,0.0003740394,0.0002448325,0.000497722,0.0006523488,0.0002983726,0.0007256963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745999,"about_ca_system_score_gemma":0.0008372906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009386534,"about_ca_topic_score_gemma":0.001744073,"domain_scores_codex":[0.9984099,0.0006547166,0.0002853741,0.0001457326,0.0003940255,0.0001101649],"domain_scores_gemma":[0.9959479,0.002137575,0.0002184851,0.0001783445,0.001321718,0.0001961359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01303059,0.0140685,0.08294869,0.01758091,0.0005269347,0.002333808,0.0112568,0.001640379,0.07034255,0.0004035293,0.01836564,0.7675017],"study_design_scores_gemma":[0.005105967,0.0994615,0.6884414,0.003623847,0.002559063,0.01327561,0.008282689,0.01955644,0.06361946,0.0006753404,0.09462761,0.0007711445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612232,0.002625145,0.01377324,0.0002616673,0.00008421094,0.01636,0.002659179,0.0008295903,0.002183646],"genre_scores_gemma":[0.8147918,0.005441059,0.1249656,0.0005161545,0.0001584772,0.0401216,0.00685672,0.0003689163,0.006779585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00484392,"threshold_uncertainty_score":0.02561742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436803012488393,"score_gpt":0.344616675255098,"score_spread":0.2802486451302141,"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."}}