{"id":"W2782819163","doi":"10.1016/j.jneb.2017.09.007","title":"My Quest, an Intervention Using Text Messaging to Improve Dietary and Physical Activity Behaviors and Promote Weight Loss in Low-Income Women","year":2018,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Auburn University","keywords":"Intervention (counseling); Weight loss; Low income; Text messaging; Physical activity; Psychology; Gerontology; Environmental health; Computer science; Medicine; Internet privacy; Obesity; Physical therapy; Sociology; Endocrinology; Socioeconomics; Psychiatry","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":[0.000721323,0.000133693,0.0002821583,0.000341601,0.00040137,0.00002394039,0.00006407616,0.0001156517,0.00003713118],"category_scores_gemma":[0.0000349014,0.0001250688,0.00002918722,0.0002124461,0.00008591452,0.0005255754,0.00004269357,0.000443821,0.000002768224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223012,"about_ca_system_score_gemma":0.0003125522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002035107,"about_ca_topic_score_gemma":0.00008827731,"domain_scores_codex":[0.9984782,0.0002639529,0.0005395957,0.0002490358,0.0001520953,0.0003170693],"domain_scores_gemma":[0.9984845,0.00005574711,0.0004381884,0.0001390737,0.0003062001,0.0005762692],"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":[0.0004540043,0.02365554,0.3713688,0.002474776,0.00001150006,0.00000698929,0.01695995,2.117201e-7,0.03151787,0.0002516703,0.0002188767,0.5530798],"study_design_scores_gemma":[0.001683814,0.0008396163,0.9897235,0.001141136,0.00006437808,0.00005261239,0.003949374,0.0001010961,0.0003567318,0.0003220023,0.001620427,0.0001453297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963665,0.0001345782,0.00008434492,0.001345123,0.0004968944,0.001528729,0.00001565958,0.00001269464,0.00001547336],"genre_scores_gemma":[0.9959182,0.0002147789,0.001316273,0.0002496325,0.0007470427,0.001476146,0.000006154283,0.00001654936,0.00005521535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6183547,"threshold_uncertainty_score":0.5100158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130595538164718,"score_gpt":0.4484975278497209,"score_spread":0.4171915724680737,"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."}}