{"id":"W4402924906","doi":"10.53555/sfs.v10i1.3035","title":"Quantitative Analysis Of Heavy Metals In Cigarette Tobacco: Health Implications And Risk Assessment","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Heavy metals; Cigarette smoking; Health risk assessment; Health risk; Environmental science; Medicine; Environmental chemistry; Chemistry; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00115953,0.0003543333,0.000215851,0.001044148,0.0003194422,0.0007098564,0.0004475084,0.0007954323,0.0004675116],"category_scores_gemma":[0.001037633,0.0001463411,0.0002275114,0.0007904563,0.0003474165,0.0002484344,0.0003641213,0.0002092453,0.0002194234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486773,"about_ca_system_score_gemma":0.00040478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745243,"about_ca_topic_score_gemma":0.004446404,"domain_scores_codex":[0.9991984,0.0002438521,0.00004326865,0.0001218668,0.0003660469,0.00002661355],"domain_scores_gemma":[0.9994623,0.0001828372,0.0001104665,0.00004901016,0.0001784453,0.00001697729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004206486,0.0002322587,0.3823454,0.0008083731,0.000194055,0.0004331922,0.0008254587,0.001229005,0.5099141,0.0009676634,0.0002820021,0.1023479],"study_design_scores_gemma":[0.00001921339,0.001505873,0.5437064,0.00026939,0.0003340759,0.002645886,0.001922742,0.01214374,0.423649,0.003508091,0.01022863,0.0000670346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942694,0.00590033,0.04542073,0.0002822556,0.00004493446,0.0002400746,0.0006372408,0.00008471651,0.004695666],"genre_scores_gemma":[0.9754282,0.002520934,0.01832823,0.0001702691,0.00002259015,0.00007950619,0.0003053445,0.00001194547,0.003133088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745243,"threshold_uncertainty_score":0.006132245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1964663745538133,"score_gpt":0.3702695971134606,"score_spread":0.1738032225596474,"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."}}