{"id":"W2888486495","doi":"10.1016/j.envpol.2018.08.069","title":"The influence of three e-cigarette models on indoor fine and ultrafine particulate matter concentrations under real-world conditions","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; Carleton University","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Ultrafine particle; Particulates; Aerodynamic diameter; Electronic cigarette; Cigarette smoke; Environmental science; Cigarette smoking; Air pollution; Animal science; Environmental chemistry; Toxicology; Environmental health; Chemistry; Medicine; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002110172,0.0001261084,0.0001077911,0.00002102943,0.0005584109,0.00001843237,0.00009654334,0.00005295983,0.0009292755],"category_scores_gemma":[0.000009307349,0.000097238,0.00002812541,0.0001011467,0.001341296,0.0003018926,0.00006518528,0.0001192541,0.0003628006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891706,"about_ca_system_score_gemma":0.000008440417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004311047,"about_ca_topic_score_gemma":0.001515663,"domain_scores_codex":[0.9988558,0.00007052316,0.0002922331,0.0002181866,0.0002719282,0.000291272],"domain_scores_gemma":[0.9994113,0.00007418702,0.0001352381,0.0002454816,0.000002201871,0.0001315502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005540845,0.0009682468,0.6071823,0.00004090902,0.0001481387,0.000005052339,0.003722695,0.2059349,0.1042976,0.04674214,0.02424336,0.006160636],"study_design_scores_gemma":[0.0003223425,0.0001543063,0.9847608,0.00001921051,0.00001796287,0.00000262682,0.00005217692,0.002863124,0.003506216,0.007539121,0.0006501278,0.0001120126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900486,0.0000134692,0.000317878,0.007155231,0.00004449825,0.0003038427,0.0000913551,0.00001561413,0.002009491],"genre_scores_gemma":[0.9963946,0.00005709896,0.0000608037,0.003046921,0.0000386148,0.00001868359,0.00001962623,0.000009630967,0.0003540551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3775785,"threshold_uncertainty_score":0.999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512581208801773,"score_gpt":0.274215720836777,"score_spread":0.2490899087487592,"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."}}