{"id":"W2002767416","doi":"10.1016/j.envpol.2005.12.042","title":"Computational fluid dynamic modeling of two passive samplers","year":2006,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Commission for Environmental Cooperation","keywords":"Freestream; Sampling (signal processing); Environmental science; Computational fluid dynamics; Volumetric flow rate; Passive sampling; Flow (mathematics); Flow velocity; Mechanics; Reynolds number; Physics; Filter (signal processing); Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004679416,0.000605496,0.001309224,0.0004503448,0.0009549359,0.001665879,0.001431063,0.002415605,0.001793941],"category_scores_gemma":[0.0019271,0.0006682188,0.0008345291,0.0004128105,0.001560535,0.001117041,0.00171535,0.0009816702,0.0002142705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219623,"about_ca_system_score_gemma":0.001832204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021059,"about_ca_topic_score_gemma":0.005324679,"domain_scores_codex":[0.9996631,0.00007771851,0.00001332977,0.00006972771,0.0001002671,0.00007588357],"domain_scores_gemma":[0.9992903,0.0003902147,0.00005786868,0.00004313547,0.0001231983,0.00009523643],"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":[0.0000889252,0.00004830521,0.0007724412,0.00001458434,0.00001202932,0.00006389393,0.00004066679,0.9915293,0.001894496,0.00367174,0.0001490035,0.001714547],"study_design_scores_gemma":[0.00001186072,0.000008558091,0.0001000752,8.949481e-7,0.000002270913,0.000004470697,0.000007122017,0.9991099,0.0003072932,0.0003310805,0.0001127423,0.000003691064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5881754,0.0004252764,0.3806811,0.001893705,0.00032458,0.000178528,0.0004629806,0.0003498527,0.02750864],"genre_scores_gemma":[0.9813951,0.0001170892,0.01009631,0.0001302023,0.00003963791,0.0001053741,0.0001107975,0.00002871797,0.007976653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02021059,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005821890593867427,"score_gpt":0.2157132120686265,"score_spread":0.2098913214747591,"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."}}