{"id":"W2147824376","doi":"10.1016/s0895-3988(11)60005-6","title":"Methodology of the Global Adult Tobacco Survey in China, 2010","year":2010,"lang":"en","type":"article","venue":"Biomedical and Environmental Sciences","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Environmental health; Traditional medicine; Geography; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00714265,0.001073466,0.0006090672,0.003623052,0.001000674,0.0006316003,0.001291354,0.0005322311,0.003329088],"category_scores_gemma":[0.008617845,0.0006656522,0.001043671,0.004957955,0.0004847869,0.0003898846,0.00110943,0.0003900037,0.000960211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003908392,"about_ca_system_score_gemma":0.005900926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1365956,"about_ca_topic_score_gemma":0.1305071,"domain_scores_codex":[0.9948197,0.00226667,0.000888381,0.0008050614,0.0007963449,0.0004239205],"domain_scores_gemma":[0.9972313,0.0003332213,0.0005167366,0.0004488527,0.001347783,0.0001221525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005510712,0.000427398,0.9218218,0.0007340105,0.0003854776,0.0001983332,0.002228537,0.002116846,0.001349709,0.001606217,0.0164486,0.05213192],"study_design_scores_gemma":[0.000110073,0.0005366117,0.9743178,0.00009643101,0.0002106856,0.0001143643,0.002228438,0.002512108,0.001479968,0.0004252727,0.01791812,0.00005006202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7650952,0.001299021,0.04415685,0.0005178477,0.0004283593,0.05902367,0.1154958,0.0003524183,0.01363082],"genre_scores_gemma":[0.6995196,0.0009759747,0.06238762,0.0009034579,0.0001717254,0.1412806,0.07707085,0.00009858222,0.0175916],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1365956,"threshold_uncertainty_score":0.2716011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017814178973548,"score_gpt":0.3062228671355257,"score_spread":0.2560447253457901,"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."}}