{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001238974,0.0006509595,0.0004081723,0.001811324,0.001101054,0.00120108,0.0007179183,0.0008136127,0.002742922],"category_scores_gemma":[0.002792388,0.0005582335,0.0008417752,0.00259821,0.0005495009,0.0008924557,0.001282806,0.0009867892,0.0007166974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724315,"about_ca_system_score_gemma":0.001661848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09920336,"about_ca_topic_score_gemma":0.08775689,"domain_scores_codex":[0.9983904,0.0006163626,0.0001999556,0.0001722883,0.0001852899,0.0004357027],"domain_scores_gemma":[0.9974933,0.0003710214,0.001039465,0.0001279731,0.0004312486,0.000536964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000729598,0.0003053759,0.9972367,0.0000386447,0.00004624935,0.00009668996,0.0007115797,0.00002208742,0.0001189075,0.00001068689,0.0001593467,0.001180727],"study_design_scores_gemma":[0.000009670417,0.0002293347,0.99742,0.00001664956,0.00004171527,0.00006576943,0.001832269,0.000166329,0.00003931803,0.000006658339,0.0001637214,0.000008596028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982799,0.00007474232,0.00003309605,0.00006207961,0.000006065718,0.00009883577,0.0008855831,0.000004235228,0.0005554316],"genre_scores_gemma":[0.9988847,0.00008385676,0.00005404919,0.00007941329,0.000007765204,0.0001215453,0.000394705,0.00000211554,0.0003717997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09920336,"threshold_uncertainty_score":0.1972519,"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."}}