{"id":"W2388649930","doi":"","title":"Influences of Smoking Machine Types on Determining Results of Routine Smoke Analyses Under Health Canada Intense Smoking Regime","year":2014,"lang":"en","type":"article","venue":"Tobacco Science & Technology","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repeatability; Nicotine; Reproducibility; tar (computing); Confidence interval; Linear regression; Smoke; Linear relationship; Mathematics; Linear model; Statistics; Medicine; Waste management; Computer science; Engineering","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":[0.004791382,0.0004767367,0.0004182048,0.00107146,0.0005778695,0.0009117824,0.0004883973,0.0005495842,0.0007378925],"category_scores_gemma":[0.01649491,0.0004611634,0.000462957,0.001029376,0.0007621362,0.0002712948,0.0004678683,0.0003079791,0.0002530415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009195511,"about_ca_system_score_gemma":0.000940501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05692038,"about_ca_topic_score_gemma":0.1088259,"domain_scores_codex":[0.9889045,0.002518523,0.0009264032,0.001504732,0.005595116,0.0005507658],"domain_scores_gemma":[0.9865295,0.007238762,0.002128495,0.0009722243,0.002750267,0.0003807636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002232135,0.0001841146,0.8817201,0.0001328189,0.0002722787,0.0002490756,0.00100901,0.0004443049,0.08211455,0.00004300948,0.0001560419,0.0314426],"study_design_scores_gemma":[0.0000059972,0.0006906255,0.9735277,0.000008981973,0.00009054254,0.0002120349,0.0002166167,0.0005224444,0.02428066,0.0000118305,0.0004176739,0.00001489812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960868,0.0004030044,0.002035776,0.00002921644,0.0000193228,0.00009281679,0.0002312135,0.00004772694,0.001053944],"genre_scores_gemma":[0.9928675,0.0002172061,0.005489408,0.00007634651,0.00001580509,0.00004875535,0.0003135109,0.00003941241,0.0009320198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9430796,"threshold_uncertainty_score":0.1131781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05029391700579367,"score_gpt":0.3269358411371104,"score_spread":0.2766419241313168,"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."}}