{"id":"W2337114925","doi":"10.1080/10807039.2015.1115956","title":"Estimation of dust ingestion rates in units of surface area per day using a mechanistic hand-to-mouth model","year":2015,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada); Calgary Laboratory Services; Campbell Scientific (Canada)","funders":"Health Canada; U.S. Environmental Protection Agency","keywords":"Ingestion; Environmental science; Mineral dust; Range (aeronautics); Aerosol; Atmospheric sciences; Environmental chemistry; Meteorology; Chemistry; Materials science; Geography; Geology; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001299784,0.00008271691,0.0001573018,0.00007532747,0.0001244649,0.00005962466,0.0001459926,0.00006515945,0.0002657329],"category_scores_gemma":[0.0002841117,0.00006753644,0.00001691019,0.00008515344,0.00008946682,0.0003753745,0.00009122369,0.0002030947,0.000003328812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305546,"about_ca_system_score_gemma":0.00007671496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002329774,"about_ca_topic_score_gemma":0.0002576669,"domain_scores_codex":[0.9987822,0.0001883588,0.0003781272,0.0001287975,0.0003810246,0.0001414895],"domain_scores_gemma":[0.9993007,0.00006802414,0.0002912718,0.00005156255,0.00008352206,0.000204923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008726863,0.0002933073,0.1665802,0.000004997233,0.0000105695,0.000005178157,0.001863836,0.8253101,0.002180535,0.00161026,0.00007334587,0.001980398],"study_design_scores_gemma":[0.0004419698,0.0002962955,0.3455791,0.00003183079,0.000009320384,0.000007733666,0.0003898031,0.6419302,0.0001158162,0.01112688,0.000009938914,0.00006102312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957393,0.000003799984,0.04195123,0.0002180294,0.00007184518,0.00009551382,0.00001584706,0.000004106904,0.0002466505],"genre_scores_gemma":[0.9802877,0.0000185656,0.01951713,0.0001149244,0.00002123401,0.000001295798,0.00001298053,0.000003814678,0.00002234896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1833799,"threshold_uncertainty_score":0.2909589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2003070271323457,"score_gpt":0.4209595434060228,"score_spread":0.2206525162736771,"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."}}