{"id":"W2887199023","doi":"10.1503/cmaj.69581","title":"Setting the record straight on taxation and disparities in smoking","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Socioeconomic status; Inequality; Tobacco use; Environmental health; Computer science; Medicine; Mathematics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.008117514,0.0001717168,0.0003075969,0.0003041185,0.002427414,0.0001072694,0.0002631446,0.002351231,0.008008417],"category_scores_gemma":[0.00942752,0.000128753,0.00004786274,0.0001569349,0.00006481756,0.0002031705,0.0000285888,0.01522799,0.0002863499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208486,"about_ca_system_score_gemma":0.005190377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02460644,"about_ca_topic_score_gemma":0.4489566,"domain_scores_codex":[0.9939996,0.002735284,0.000833371,0.000209508,0.00128761,0.0009346387],"domain_scores_gemma":[0.9928768,0.004377638,0.001793317,0.0001220387,0.0002995873,0.0005306135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003585714,0.000003193717,0.09375105,0.0001130016,0.00002477655,0.0001614709,0.001005826,8.311979e-8,1.303306e-8,0.00008217117,0.8982216,0.006633294],"study_design_scores_gemma":[0.0003212149,0.00003514177,0.1093284,0.001250409,0.00001943387,0.00001749546,0.0005940958,0.0000359524,2.560939e-8,0.0005047909,0.8877771,0.0001158686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01192674,0.0001526205,0.000005227656,0.9699572,0.003430035,0.0003071472,0.00004848739,0.00001271358,0.01415983],"genre_scores_gemma":[0.004293251,0.0006929865,0.0000325104,0.9608972,0.0289477,0.00002783788,0.00004182428,0.00002660515,0.005040071],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4243502,"threshold_uncertainty_score":0.9989439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281072299572509,"score_gpt":0.3692305304913254,"score_spread":0.3364198074956003,"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."}}