{"id":"W2898214242","doi":"10.2196/10931","title":"Evaluating Mobile Health Apps for Customized Dietary Recording for Young Adults and Seniors: Randomized Controlled Trial","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan; Chang Gung Medical Foundation; Chang Gung University; National Science Council","keywords":"Randomized controlled trial; Mobile apps; mHealth; Medicine; Gerontology; Computer science; Psychological intervention; World Wide Web; Nursing; Surgery","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":[0.01247711,0.00278051,0.006017626,0.0009514902,0.001099407,0.002224076,0.001692918,0.004309083,0.0103141],"category_scores_gemma":[0.0186021,0.001311456,0.004604728,0.0008961103,0.002171113,0.002509873,0.001187399,0.003624755,0.00144171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620017,"about_ca_system_score_gemma":0.003029772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695596,"about_ca_topic_score_gemma":0.002885788,"domain_scores_codex":[0.9908094,0.005134529,0.001247809,0.001184582,0.0009062911,0.0007173929],"domain_scores_gemma":[0.9896058,0.005035416,0.002523398,0.0007443456,0.001153221,0.000937776],"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":[0.9673848,0.01370986,0.0005691825,0.003566773,0.002358629,0.00003148231,0.0001745908,0.0001345383,0.0006436122,0.000122867,0.0005083131,0.01079546],"study_design_scores_gemma":[0.884514,0.1108321,0.001284063,0.0002817775,0.001749737,0.00001013362,0.00007394239,0.0002329928,0.0002355208,0.000141888,0.0006233017,0.00002058496],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7321603,0.009372293,0.0038969,0.00112501,0.003126235,0.2439098,0.002206365,0.0004368198,0.003766335],"genre_scores_gemma":[0.6947076,0.004090656,0.01351402,0.001813504,0.001144822,0.280147,0.0007057101,0.00005300997,0.003823553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01247711,"threshold_uncertainty_score":0.0659861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007051623372645,"score_gpt":0.5087644635270397,"score_spread":0.4080593011897752,"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."}}