{"id":"W3172825397","doi":"10.1093/cdn/nzab052_004","title":"Rx Food App: A Proof-of-Concept Study of an Image-Based Dietary Assessment Mobile Application","year":2021,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Western University; Ontario Tech University","funders":"","keywords":"Food group; Nutrient; Food composition data; Added sugar; Food science; Mathematics; Sugar; Limits of agreement; Animal science; Medicine; Chemistry; Biology; Environmental health; Nuclear medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001619331,0.0001502284,0.0003716591,0.000142621,0.00005771978,0.000007450679,0.00007418099,0.00004927247,0.00002255691],"category_scores_gemma":[0.0000247515,0.0001532724,0.0000581795,0.0004582588,0.00005061629,0.0001014567,0.00005407071,0.0001446409,9.275089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670197,"about_ca_system_score_gemma":0.000195254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008744543,"about_ca_topic_score_gemma":0.00002386825,"domain_scores_codex":[0.9983814,0.00007519595,0.0005691383,0.0003515778,0.0004518419,0.000170802],"domain_scores_gemma":[0.9991155,0.00004149727,0.0001661082,0.0002177629,0.0003916658,0.00006746649],"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":[0.001631272,0.2672684,0.271348,0.01135352,0.0006079052,0.00008581296,0.002702869,0.0001983258,0.01842505,0.0003812928,0.002855791,0.4231418],"study_design_scores_gemma":[0.05060164,0.01020995,0.728476,0.004987412,0.0003748976,0.00002811873,0.01238279,0.001397777,0.1736233,0.002383332,0.01453218,0.001002529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937851,0.002195675,0.0009495535,0.00007468144,0.0002640949,0.002454096,0.0000666143,0.00002653907,0.0001836243],"genre_scores_gemma":[0.9874974,0.0001119265,0.009588191,0.00002567547,0.00006178012,0.00157368,0.001122482,0.00001355903,0.000005325548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4571281,"threshold_uncertainty_score":0.6250268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570438758622593,"score_gpt":0.3546810546531935,"score_spread":0.3189766670669676,"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."}}