{"id":"W4286277677","doi":"10.2196/preprints.40449","title":"Relative validation of an artificial intelligence- enhanced, image-assisted mobile application for dietary assessment in adults: A randomized, cross-over study (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wilcoxon signed-rank test; Crossover study; Medicine; Preprint; Portion size; Nutrition facts label; Limits of agreement; Statistics; Psychology; Mathematics; Computer science; Environmental health; Food science; Mann–Whitney U test","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0135115,0.001316587,0.001597543,0.0005701712,0.001023978,0.001327999,0.0007871689,0.001670439,0.004178929],"category_scores_gemma":[0.01578142,0.0008236474,0.001941222,0.0005174981,0.001424966,0.001456943,0.0007547562,0.00207639,0.001058766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090385,"about_ca_system_score_gemma":0.002115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820265,"about_ca_topic_score_gemma":0.001815322,"domain_scores_codex":[0.9921035,0.004563932,0.0007744423,0.001035501,0.001119322,0.0004034002],"domain_scores_gemma":[0.9909576,0.003067876,0.001742797,0.001111633,0.002169599,0.0009504961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.6170155,0.2868803,0.02058093,0.001910334,0.002733212,0.0001249165,0.001822159,0.000529374,0.009619907,0.0002961318,0.002469977,0.05601734],"study_design_scores_gemma":[0.1040669,0.8594043,0.03024482,0.000130109,0.00114151,0.00003573159,0.0004020921,0.0006985351,0.001717448,0.0001034832,0.002003583,0.00005158685],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813443,0.0003044709,0.00158706,0.0001450104,0.0002900125,0.01531052,0.0003892961,0.00004950647,0.0005798225],"genre_scores_gemma":[0.9461898,0.0006678625,0.008714064,0.0008162823,0.0004850239,0.04063493,0.0006647664,0.00003682321,0.001790511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0135115,"threshold_uncertainty_score":0.07145655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03562093825802041,"score_gpt":0.3973197932729747,"score_spread":0.3616988550149543,"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."}}