{"id":"W4410017578","doi":"10.1158/1055-9965.28918820","title":"Table S7 from Biomarkers of Toxicant Exposure among Youth in Canada, England, and the United States Who Vape and/or Smoke Tobacco or Do Neither","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toxicant; Table (database); Tobacco smoke; Smoke; Environmental health; Political science; Medicine; Geography; Data mining; Computer science; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007288782,0.000986113,0.001151776,0.003013654,0.001348026,0.001387888,0.001560304,0.0006469646,0.4826748],"category_scores_gemma":[0.01210094,0.0005060881,0.001721804,0.0050356,0.0002420398,0.000727453,0.00108744,0.0006347038,0.05875725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164455,"about_ca_system_score_gemma":0.006372782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3276048,"about_ca_topic_score_gemma":0.5057052,"domain_scores_codex":[0.9990342,0.00007432563,0.0001087484,0.0001929648,0.0004118715,0.0001780203],"domain_scores_gemma":[0.9889102,0.003559709,0.0006752529,0.0005580602,0.005423366,0.0008733],"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":[0.0003056966,0.00006887188,0.02181325,0.001328497,0.0001800482,0.0001162317,0.00008045521,0.0002449368,0.0002809802,0.0003819626,0.9664337,0.00876544],"study_design_scores_gemma":[0.001055166,0.0002367291,0.4661042,0.001117703,0.0003912696,0.0004022096,0.0006283413,0.0006527896,0.0009014512,0.001641808,0.5267733,0.00009502458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006574305,0.00005847724,0.0000724661,0.00008476655,0.00008422577,0.00003605868,0.9976348,0.000064777,0.001307153],"genre_scores_gemma":[0.01045488,0.000257141,0.001350467,0.0003812935,0.0001415369,0.0003308934,0.9748077,0.0002064494,0.01206965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6723952,"threshold_uncertainty_score":0.7379016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209526047873618,"score_gpt":0.2620276359671173,"score_spread":0.2299323754883811,"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."}}