{"id":"W4205195164","doi":"10.2196/33082","title":"Text Messages and Financial Incentives to Increase Physical Activity in Adolescents With Prediabetes and Type 2 Diabetes: Web-Based Group Interviews to Inform Intervention Design","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Prediabetes; Type 2 diabetes; Overweight; Incentive; Population; Psychology; Medicine; Intervention (counseling); Framing (construction); Obesity; Nursing; Diabetes mellitus; Internal medicine; Environmental health","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007419943,0.0002928192,0.0005521657,0.0002563816,0.0003780708,0.00003604829,0.0001456203,0.0001675965,0.00002936641],"category_scores_gemma":[0.0004960556,0.0002574223,0.00004450062,0.000901489,0.00008067259,0.0002596632,0.0002553702,0.0005144203,0.00005133523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646146,"about_ca_system_score_gemma":0.0004075824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005689135,"about_ca_topic_score_gemma":0.0006330916,"domain_scores_codex":[0.9972018,0.0006787502,0.00046712,0.0005867771,0.0002172141,0.0008483499],"domain_scores_gemma":[0.9982282,0.0003674284,0.0001971997,0.0003520664,0.0001959288,0.0006592088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004075011,0.001025833,0.7798976,0.004308431,0.0000127431,0.000002135134,0.001414878,0.000009253928,0.003858975,0.0001198972,0.002002126,0.2069406],"study_design_scores_gemma":[0.002560424,0.0009142436,0.971539,0.004587203,0.00002700575,9.695611e-8,0.0002835906,0.001071596,0.001508946,0.0001311417,0.01705151,0.0003252667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928617,0.0004464666,0.0002571784,0.00139165,0.0001232028,0.004729941,0.0000486912,0.00008197877,0.00005915701],"genre_scores_gemma":[0.9851577,0.00004756314,0.001087445,0.002918912,0.0001211774,0.01052117,0.00003119787,0.00003452214,0.00008027297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2066154,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287347846896603,"score_gpt":0.369352294951282,"score_spread":0.3406175102616217,"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."}}