{"id":"W2135061718","doi":"10.1248/jhs.55.421","title":"Nicotine, Tar, and Mutagenicity of Mainstream Smoke Generated by Machine Smoking with International Organization for Standardization and Health Canada Intense Regimens of Major Japanese Cigarette Brands","year":2009,"lang":"en","type":"article","venue":"JOURNAL OF HEALTH SCIENCE","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, Labour and Welfare","keywords":"Sidestream smoke; tar (computing); Nicotine; Regimen; Smoke; Chemistry; Yield (engineering); Cigarette smoke; Standardization; Toxicology; Environmental health; Medicine; Surgery; Biology; Organic chemistry; Internal medicine; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003730171,0.0003571066,0.0001615007,0.0006475819,0.0003441079,0.000210979,0.000211396,0.0002754976,0.001142376],"category_scores_gemma":[0.0003381035,0.0001814293,0.0004517077,0.0005064563,0.0002964437,0.000169847,0.0003315241,0.0004082386,0.0001085809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939846,"about_ca_system_score_gemma":0.000350556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005566585,"about_ca_topic_score_gemma":0.01023253,"domain_scores_codex":[0.999301,0.0001253899,0.00007305277,0.0001380544,0.0002778627,0.00008461558],"domain_scores_gemma":[0.9997883,0.00002866813,0.00004606112,0.0000254739,0.00007905808,0.00003251581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008169424,0.0002718169,0.01918909,0.00007612703,0.00005660325,0.00007293072,0.0002503438,0.0001366175,0.9726635,0.0000902637,0.00008069709,0.006295037],"study_design_scores_gemma":[0.00003062569,0.008555665,0.2659297,0.00002611472,0.0002564519,0.0002632177,0.0003763315,0.0008760022,0.720795,0.00007215026,0.002789336,0.00002939587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997804,0.0004860202,0.0008336219,0.00001005131,0.000007357824,0.00007747048,0.0001455871,0.000007843283,0.0006279913],"genre_scores_gemma":[0.992904,0.0006217624,0.00322573,0.00006841866,0.00001291814,0.0001638876,0.001196043,0.0000137422,0.001793473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944334,"threshold_uncertainty_score":0.0110684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856719021744953,"score_gpt":0.2732329566396119,"score_spread":0.2646657664221624,"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."}}