{"id":"W3086152786","doi":"10.2196/20532","title":"Secondary Impact of Social Media via Text Message Screening for Type 2 Diabetes Risk in Kuwait: Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; Medicine; Psychological intervention; Disease; Short Message Service; Population; Type 2 diabetes; Public health; Family medicine; Internet privacy; Diabetes mellitus; Environmental health; Computer science; Nursing","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":[0.002391407,0.0002778491,0.000856416,0.0001810675,0.0006305873,0.000008954433,0.000329953,0.0002847361,0.0005958487],"category_scores_gemma":[0.001659563,0.0002502337,0.0001525452,0.0009047082,0.0000741605,0.0001309839,0.000129439,0.0009401398,0.00006676887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228755,"about_ca_system_score_gemma":0.0007917107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004827024,"about_ca_topic_score_gemma":0.001444544,"domain_scores_codex":[0.995602,0.00132947,0.001200067,0.0004985869,0.0002590099,0.00111087],"domain_scores_gemma":[0.993532,0.004698145,0.0006996343,0.0003160885,0.0002610466,0.0004930964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001587937,0.0002536349,0.9533383,0.0005729775,0.0000592522,2.029581e-7,0.005547152,0.000006222353,0.0001986388,0.00002241235,0.01243019,0.02741221],"study_design_scores_gemma":[0.00260353,0.0006084996,0.9915377,0.00005431795,0.00003108186,7.874286e-9,0.00114452,0.0009126933,0.00002573893,0.0001800751,0.00270411,0.0001977073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897987,0.0003837801,0.00004515128,0.0005381615,0.0001960916,0.007248899,0.001433363,0.00009815212,0.0002576479],"genre_scores_gemma":[0.9899871,0.00002966401,0.0002241399,0.0007171301,0.0004327743,0.008062924,0.000454942,0.0000667708,0.00002455139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0381994,"threshold_uncertainty_score":0.999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09847631579294555,"score_gpt":0.4516161464598502,"score_spread":0.3531398306669046,"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."}}