{"id":"W2322979845","doi":"10.18001/trs.2.1.1","title":"Mouth Level Exposure and Similarity to Machine-smoked Constituent Yields","year":2015,"lang":"en","type":"article","venue":"Tobacco Regulatory Science","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Regimen; Nicotine; tar (computing); Smoke; Medicine; Toxicology; Surgery; Computer science; Chemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008904129,0.0001210421,0.0001681183,0.0001543345,0.0001575008,0.00006083513,0.0001575529,0.00007611955,0.0000360296],"category_scores_gemma":[0.0002519763,0.0001026036,0.00002574616,0.0004434841,0.0004899065,0.000235408,0.0001035694,0.0001368341,0.000009811011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519103,"about_ca_system_score_gemma":0.0004542916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019923,"about_ca_topic_score_gemma":0.00002030522,"domain_scores_codex":[0.9984576,0.00001777084,0.0001682001,0.0003721381,0.0007306987,0.0002535745],"domain_scores_gemma":[0.9988202,0.00001516154,0.00004485561,0.0004046851,0.0002030311,0.000512076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004894512,0.00005338197,0.979862,0.000007625125,0.000003533716,0.00001331788,0.001017923,0.0000285166,0.006591524,0.0008397942,0.00060322,0.01093025],"study_design_scores_gemma":[0.0007002298,0.0001336223,0.9908613,0.00003663934,0.00003210969,0.00005610236,0.0004420857,0.00005606101,0.006702308,0.00008231043,0.000759867,0.000137378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963922,0.00007043482,0.0002438973,0.0007291006,0.0003808801,0.0002537902,0.000009915447,0.0000716428,0.001848126],"genre_scores_gemma":[0.9980475,0.000001459913,0.0006981167,0.0007228079,0.00006125159,0.000007610787,0.000003786104,0.000007162953,0.0004503047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01099932,"threshold_uncertainty_score":0.4184052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273693339629863,"score_gpt":0.3196166943706497,"score_spread":0.226879760974351,"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."}}