{"id":"W2903428706","doi":"10.5539/gjhs.v10n12p127","title":"Prevalence and Characteristic of Dietary Supplement Users in Malaysia: Data From the Malaysian Adult Nutrition Survey (MANS) 2014","year":2018,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Multivitamin; Environmental health; Respondent; Medical prescription; Descriptive statistics; Vitamin; Logistic regression; Gerontology","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":[0.002761655,0.0000817066,0.0002657096,0.00005393397,0.0001095954,0.00002693408,0.0004982495,0.00002114866,0.00004524429],"category_scores_gemma":[0.0002214077,0.00005523902,0.00001950833,0.0003289632,0.0004453393,0.0002671295,0.0001737263,0.0001442913,0.000002849654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009871011,"about_ca_system_score_gemma":0.0004953726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002659722,"about_ca_topic_score_gemma":0.0008731757,"domain_scores_codex":[0.9983132,0.00009099778,0.0006161411,0.0002232302,0.0004939317,0.000262499],"domain_scores_gemma":[0.9986619,0.00007257765,0.0004023595,0.0003573984,0.0003444099,0.0001614037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002029584,0.0001122768,0.995064,0.0001495229,0.00001697355,0.000007273337,0.00008591002,6.892844e-7,0.0003511124,0.00001385034,0.0007112044,0.003284257],"study_design_scores_gemma":[0.0007360405,0.0005275839,0.9963527,0.0009116548,0.00004263573,0.0001210341,0.00009989097,0.001032239,0.00002149965,0.00003553764,0.00007549005,0.00004368651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990477,0.003696073,0.00009887826,0.004863684,0.0002524892,0.0002223711,0.0003792731,0.000002063588,0.000008130363],"genre_scores_gemma":[0.995472,0.002504587,0.001438276,0.0004698545,0.00009248019,7.636559e-7,0.00001880958,0.000002435619,7.871608e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004994968,"threshold_uncertainty_score":0.4020722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790249816882612,"score_gpt":0.3637039843015693,"score_spread":0.3058014861327432,"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."}}