{"id":"W4220926602","doi":"10.18332/tid/146568","title":"Methods of the 2020 (Wave 1) International Tobacco Control(ITC) Malaysia survey","year":2022,"lang":"en","type":"article","venue":"Tobacco Induced Diseases","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Waterloo","funders":"","keywords":"Tobacco control; Smokeless tobacco; Promotion (chess); Environmental health; Public health; Tobacco harm reduction; Tobacco in Alabama; Government (linguistics); Convention; Business; Medicine; Political science; Tobacco use; Politics; Nursing; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005620617,0.0001434449,0.0002681226,0.00008298649,0.0001512764,0.00002098989,0.0002736003,0.00004997112,0.002145641],"category_scores_gemma":[0.0006108739,0.0001121376,0.0001762895,0.000387237,0.00005275568,0.00007937513,0.0001930633,0.000255384,0.000002719033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687457,"about_ca_system_score_gemma":0.0002322372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003469172,"about_ca_topic_score_gemma":0.000008948543,"domain_scores_codex":[0.9980726,0.0005264574,0.0003254593,0.0002587758,0.0006391823,0.0001775385],"domain_scores_gemma":[0.9987941,0.0002587737,0.0002083249,0.0004572823,0.0001766042,0.0001048837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003533899,0.0003268853,0.9759588,0.000005777704,0.0001008022,0.00001061233,0.00006877742,0.000061642,0.006845912,0.0001186924,0.001712749,0.01443595],"study_design_scores_gemma":[0.001448355,0.0001059977,0.9948407,0.00001692205,0.000276292,0.00001999391,0.0002369306,0.0000587013,0.002217886,0.00008139405,0.0005829125,0.0001138697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961801,0.00009533199,0.00006431123,0.0008061401,0.00120941,0.0003694763,0.0004318681,0.00004725533,0.0007961591],"genre_scores_gemma":[0.9984699,0.000005232294,0.0000875769,0.0006553544,0.0001866884,0.00009596317,0.0002177462,0.00002288985,0.0002585959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01888194,"threshold_uncertainty_score":0.9987665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768634533554737,"score_gpt":0.3540180549405463,"score_spread":0.2963317096049989,"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."}}