{"id":"W2614731011","doi":"10.1016/j.ypmed.2017.05.011","title":"Energy drink consumption and marketing in South Africa","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Coffee research and impacts","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Consumption (sociology); Advertising; Medicine; Energy (signal processing); Energy consumption; Odds; Environmental health; Marketing; Logistic regression; Business; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002568891,0.0002028811,0.000145683,0.001312323,0.0003980028,0.0009324338,0.0001444665,0.0002163587,0.006239497],"category_scores_gemma":[0.001513417,0.0001745568,0.0003250389,0.003693539,0.0002994362,0.0006866304,0.0006276317,0.0003848959,0.0003944145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009719312,"about_ca_system_score_gemma":0.0008552537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.053785,"about_ca_topic_score_gemma":0.05208038,"domain_scores_codex":[0.999779,0.0000746064,0.00001712476,0.00002663715,0.00003912443,0.00006342708],"domain_scores_gemma":[0.9994319,0.0001505821,0.0002900655,0.00001246439,0.0000370359,0.00007780924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000136589,0.0001122837,0.9621775,0.0003033849,0.0001004156,0.0006497978,0.004726769,0.0003951303,0.001108178,0.00117828,0.0006974671,0.02841415],"study_design_scores_gemma":[0.000002667759,0.00003003554,0.9941566,0.00008031131,0.00002065864,0.0001492656,0.002851578,0.0001407607,0.00008908077,0.0001234046,0.002351183,0.000004538128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98895,0.003154192,0.0001037497,0.0007682886,0.000008744375,0.00002887955,0.001065684,0.000004627815,0.005915815],"genre_scores_gemma":[0.9953912,0.00276002,0.0001396812,0.00004814461,0.00001038277,0.00002072531,0.0002445077,0.000002954167,0.00138225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.053785,"threshold_uncertainty_score":0.1069438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06225890463748914,"score_gpt":0.3519353109436927,"score_spread":0.2896764063062036,"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."}}