{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008902032,0.00007465776,0.0001956144,0.00007080432,0.0001253683,0.00001686745,0.0000997061,0.00002542988,0.000001764767],"category_scores_gemma":[0.00004637964,0.00005981785,0.00001445057,0.0001928483,0.00008956658,0.00001420155,0.00002406793,0.00005192447,8.362276e-10],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170991,"about_ca_system_score_gemma":0.001336698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007701597,"about_ca_topic_score_gemma":0.008610011,"domain_scores_codex":[0.9989896,0.00002134586,0.000403719,0.0001463796,0.0002987678,0.0001401501],"domain_scores_gemma":[0.9984923,0.000005799732,0.000640517,0.00008045084,0.0006727098,0.0001082434],"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":[0.0006061745,0.0001722518,0.1498885,0.0002119954,0.0001216618,0.000002410437,0.0009035334,0.001407318,0.8315229,0.0000861276,0.003500912,0.01157619],"study_design_scores_gemma":[0.004689667,0.005540394,0.2825504,0.0002347122,0.00004367662,0.0004157901,0.000884483,0.00225764,0.7021976,0.00002568059,0.0008906958,0.0002692953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885305,0.0007848956,0.007038619,0.003339069,0.00006790612,0.0001414743,0.00009287791,9.365914e-7,0.0000037468],"genre_scores_gemma":[0.9978005,0.0003467838,0.0009312271,0.0008410956,0.00002428288,3.119232e-7,0.000043296,0.000004866238,0.000007624744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326618,"threshold_uncertainty_score":0.9989062,"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."}}