{"id":"W1997273696","doi":"10.2196/mhealth.3324","title":"A Mobile Phone Food Record App to Digitally Capture Dietary Intake for Adolescents in a Free-Living Environment: Usability Study","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Meal; Medicine; Fiducial marker; Food intake; Usability; Psychology; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006092233,0.0001983329,0.0004940964,0.00008997232,0.0001226817,0.00001470387,0.00008457789,0.0000826723,0.000008336931],"category_scores_gemma":[0.0001419925,0.000176414,0.00005289042,0.0001769415,0.00004931975,0.00008037307,0.0001358174,0.0002312681,0.000008723191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003649795,"about_ca_system_score_gemma":0.0001773998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008413981,"about_ca_topic_score_gemma":0.001541378,"domain_scores_codex":[0.998115,0.00006535577,0.000478547,0.0004876295,0.0003035404,0.000549898],"domain_scores_gemma":[0.9985937,0.00007495283,0.00008937011,0.0003092564,0.00005482898,0.0008779211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004195553,0.008665115,0.9146374,0.004137832,0.00003965476,0.00001625634,0.008606398,0.00001008124,0.000004399348,0.00001753515,0.02755566,0.03211416],"study_design_scores_gemma":[0.00754988,0.014017,0.9457937,0.0004959313,0.00005324514,0.00001354605,0.009299575,0.00004083378,7.211032e-7,0.0007363604,0.02176321,0.0002359599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891152,0.003267576,0.00006669221,0.002508389,0.0001921218,0.004450088,0.0001700936,0.00003896614,0.0001908195],"genre_scores_gemma":[0.9949374,0.0003285684,0.0009133128,0.002321618,0.000258084,0.001080677,0.00002754446,0.00002330011,0.0001095217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318782,"threshold_uncertainty_score":0.7193955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06165085039380835,"score_gpt":0.3421652910469229,"score_spread":0.2805144406531146,"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."}}