{"id":"W2159365994","doi":"10.1039/c3em00128h","title":"Quantitative passive soil vapor sampling for VOCs- part 2: laboratory experiments","year":2014,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Air Force Civil Engineer Center; Environmental Security Technology Certification Program; Fondazione Salvatore Maugeri; U.S. Department of Defense","keywords":"Sampling (signal processing); Environmental science; Environmental chemistry; Passive sampling; Chemistry; Computer science; Statistics; Mathematics; Telecommunications; Calibration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105101,0.001060826,0.0008345008,0.0003503148,0.0006122747,0.0005837777,0.001089481,0.0006967477,0.002170042],"category_scores_gemma":[0.0007929164,0.0003499612,0.0006817098,0.0004389303,0.0003944957,0.0003340807,0.0004926865,0.0006415971,0.0008350083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007229952,"about_ca_system_score_gemma":0.0009771297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052854,"about_ca_topic_score_gemma":0.003814932,"domain_scores_codex":[0.9985966,0.0002102181,0.00009646439,0.0004818555,0.0004678045,0.0001470724],"domain_scores_gemma":[0.9992884,0.000166597,0.0001385288,0.0001380032,0.0002262612,0.00004234522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005489233,0.0005067145,0.002414088,0.000254579,0.00002760243,0.00002541411,0.00006483385,0.0008321438,0.9880894,0.00008285198,0.0002112083,0.006942367],"study_design_scores_gemma":[0.0001212257,0.005576234,0.006238422,0.00001950788,0.0000593642,0.00008456953,0.00004095081,0.002396411,0.9814151,0.0001222656,0.00389603,0.00002997671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353685,0.0008821414,0.05178039,0.00007641989,0.00008486367,0.003550974,0.004928685,0.0006909822,0.002637148],"genre_scores_gemma":[0.8694406,0.001472109,0.104684,0.0003241841,0.00008110671,0.009089076,0.006126464,0.0001885221,0.008593976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003052854,"threshold_uncertainty_score":0.007259548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196357102325253,"score_gpt":0.2624723441142842,"score_spread":0.2405087730910316,"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."}}