{"id":"W4410438058","doi":"10.1158/1055-9965.29087212","title":"Table 4 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":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Toxicant; Smoke; Environmental health; Tobacco smoke; Tobacco use; 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":[0.0005030591,0.000518196,0.0005731056,0.002310056,0.000683098,0.0008769287,0.0007708009,0.0003671008,0.09380617],"category_scores_gemma":[0.004470349,0.0002974774,0.001397149,0.003319036,0.0001631318,0.0004015388,0.0006627694,0.000496217,0.01002109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982046,"about_ca_system_score_gemma":0.004237517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6045058,"about_ca_topic_score_gemma":0.7230722,"domain_scores_codex":[0.9993958,0.00006212921,0.00006053091,0.0001022446,0.0002801998,0.00009905115],"domain_scores_gemma":[0.9964623,0.0007402133,0.0003185229,0.0002552086,0.001872838,0.0003509986],"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":[0.0006457345,0.00009622823,0.2600108,0.001116822,0.000425153,0.0001691313,0.0001398554,0.0005843101,0.0003884216,0.0004449911,0.7084162,0.02756238],"study_design_scores_gemma":[0.000165588,0.0001081891,0.8945446,0.0002371253,0.0002777325,0.0001424936,0.000296606,0.0003110278,0.0005031172,0.000238027,0.103148,0.00002763284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0145232,0.0004541812,0.0002656895,0.0002799777,0.0001477954,0.0001073752,0.9755825,0.0001984494,0.008440788],"genre_scores_gemma":[0.1134434,0.001139205,0.002716031,0.0006767702,0.0001627138,0.0004316789,0.8066309,0.0002671376,0.07453214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9061939,"threshold_uncertainty_score":0.7956467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505440703797804,"score_gpt":0.2593191499009881,"score_spread":0.2342647428630101,"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."}}