{"id":"W2071284443","doi":"10.1016/j.jneb.2014.04.291","title":"Dietary Self-Monitoring, But Not Dietary Quality, Improves With Use of Smartphone App Technology in an 8-Week Weight Loss Trial","year":2014,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Arizona State University","keywords":"Weight loss; Smartphone application; Smartphone app; Mobile apps; Medicine; Self-monitoring; Gerontology; Psychology; Computer science; Internal medicine; Internet privacy; Obesity; Multimedia; World Wide Web; Social psychology","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":[0.001176899,0.001192575,0.002143766,0.0003007829,0.0005549846,0.0008270225,0.0004206993,0.001485791,0.004271151],"category_scores_gemma":[0.00269647,0.0007276924,0.002025477,0.0003306384,0.0005061289,0.0009642995,0.0006041293,0.002561853,0.0005541684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750598,"about_ca_system_score_gemma":0.0005345152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353028,"about_ca_topic_score_gemma":0.002085321,"domain_scores_codex":[0.9994807,0.0001791516,0.00006528028,0.0001248637,0.0000638331,0.00008616831],"domain_scores_gemma":[0.9990722,0.0003108575,0.0001985288,0.0000929011,0.00009586802,0.0002295506],"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":[0.9370201,0.02160385,0.006163186,0.001036718,0.00394959,0.00005132164,0.000220175,0.0001453715,0.002424037,0.00003744287,0.0006556559,0.02669264],"study_design_scores_gemma":[0.558363,0.3233052,0.1035418,0.0003967847,0.009555247,0.00008094536,0.0002465836,0.001055842,0.001647139,0.0002190734,0.001505521,0.0000829016],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973974,0.001046363,0.000132729,0.0002136704,0.0001419423,0.0002819327,0.0001936243,0.00003117499,0.0005610432],"genre_scores_gemma":[0.9954615,0.001050101,0.0006244713,0.0003049931,0.0001971673,0.0008368858,0.0002321923,0.000009936909,0.001282726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004271151,"threshold_uncertainty_score":0.01428843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08046078607117642,"score_gpt":0.4397191330405363,"score_spread":0.3592583469693599,"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."}}