{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004568889,0.0001737741,0.0001970198,0.001140835,0.0001636776,0.0002428975,0.0002150199,0.0002026592,0.0008631331],"category_scores_gemma":[0.0008186132,0.000193882,0.0002671339,0.001292577,0.0001208853,0.0003144787,0.0003238361,0.0002542189,0.0002153868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004350973,"about_ca_system_score_gemma":0.0004876909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969548,"about_ca_topic_score_gemma":0.02770308,"domain_scores_codex":[0.9997002,0.00004763326,0.00009349339,0.00004651822,0.00008019817,0.0000319357],"domain_scores_gemma":[0.9993252,0.00005546635,0.0004106104,0.00002030252,0.0001092198,0.00007917534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000420307,0.00002485534,0.9961718,0.0001095508,0.0000289232,0.00004384223,0.0002117777,0.00002340282,0.0001452943,0.00001434843,0.0004628726,0.002721328],"study_design_scores_gemma":[0.000001775864,0.00003988717,0.99888,0.00004004283,0.0000141426,0.0001368807,0.0003085249,0.00004941678,0.00005719626,0.000006703153,0.0004622797,0.000003154735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889798,0.0009219588,0.00007025433,0.0001658483,0.000006479256,0.00003184381,0.009015551,0.000006300919,0.0008019261],"genre_scores_gemma":[0.9926018,0.001276101,0.0003502555,0.00009854032,0.00001038231,0.00005417571,0.005027613,0.000002160357,0.0005789466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969548,"threshold_uncertainty_score":0.03916162,"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."}}