{"id":"W2905887306","doi":"10.1016/j.watres.2018.12.020","title":"Development and evaluation of a mechanistic model to assess the fate and removal efficiency of hydrophobic organic contaminants in horizontal subsurface flow treatment wetlands","year":2018,"lang":"en","type":"article","venue":"Water Research","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Environmental science; Contamination; Constructed wetland; Subsurface flow; Environmental chemistry; Environmental engineering; Volatilisation; Vegetation (pathology); Groundwater; Sewage treatment; Chemistry; Ecology; Geology","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":[0.001808552,0.0001361445,0.0001924165,0.0001152711,0.0001467649,0.00002365569,0.0001624443,0.00004426516,0.000118673],"category_scores_gemma":[0.00002008458,0.00007543449,0.00001455122,0.00024938,0.0002913527,0.00005826918,0.0003426951,0.00006860385,0.00002967886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564614,"about_ca_system_score_gemma":0.00007074481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005585835,"about_ca_topic_score_gemma":0.003414355,"domain_scores_codex":[0.9979439,0.0002198659,0.0002752028,0.0003509535,0.0008339913,0.0003761012],"domain_scores_gemma":[0.9995335,0.00002950321,0.00003212964,0.0002519595,0.00006376502,0.00008915331],"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":[0.0001709758,0.0001799985,0.02176779,0.00001544656,0.00002599012,0.00001080892,0.01616578,0.0004133718,0.9419805,0.00001357486,0.000002351603,0.01925346],"study_design_scores_gemma":[0.001633297,0.0008085108,0.01503022,0.0000427745,0.00002833509,0.00002987723,0.0005614883,0.1168628,0.8645504,0.0002843396,0.00004839888,0.0001195053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998683,0.000020256,0.000120959,0.0000481672,0.00002363364,0.0008040433,0.000007450673,0.000004738049,0.0002877077],"genre_scores_gemma":[0.9977939,0.0000094038,0.001984817,0.000002316781,0.000004974079,0.00005618931,0.000005758298,0.00001139915,0.0001311998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164495,"threshold_uncertainty_score":0.3076129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08254353435682094,"score_gpt":0.3322240357727896,"score_spread":0.2496805014159687,"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."}}