{"id":"W2140701698","doi":"10.1016/j.ecoleng.2008.02.004","title":"Stress detection by laser-induced fluorescence in Zantedeschia aethiopica planted in subsurface-flow treatment wetlands","year":2008,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"Universidad de Guadalajara","keywords":"Wetland; Ornamental plant; Wastewater; Environmental science; Sewage treatment; Environmental engineering; Constructed wetland; Flooding (psychology); Hydrology (agriculture); Ecology; Biology; Engineering; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00006786787,0.0002523194,0.0002672867,0.00008409408,0.00006378377,0.00001411344,0.0001446262,0.0001631699,0.0003092083],"category_scores_gemma":[0.00003986958,0.0002045594,0.00004924536,0.0003421661,0.00004730893,0.0001241783,0.00007641091,0.0002209914,0.00005951945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007352866,"about_ca_system_score_gemma":0.000008047149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005617515,"about_ca_topic_score_gemma":0.002806656,"domain_scores_codex":[0.9986141,0.00004138886,0.0002959947,0.0004115961,0.0001727641,0.0004641779],"domain_scores_gemma":[0.9995809,0.00008407135,0.00003900729,0.0001739263,0.000003021019,0.0001191084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008605854,0.0005653633,0.8400527,0.000007540241,0.00001740427,0.0005391295,0.0003561225,0.05713758,0.08907001,0.00000181689,0.000011936,0.01215433],"study_design_scores_gemma":[0.0019417,0.0004541932,0.7639732,0.00002837943,0.000006395468,0.00006502045,0.00003110035,0.162552,0.07047307,0.000005925855,0.0001586812,0.0003103473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991345,0.00000862628,0.00006666357,0.00003562072,0.0001245377,0.0002951712,0.00002917917,0.0001088726,0.0001968486],"genre_scores_gemma":[0.9989489,0.00004074677,0.0008187431,0.00000895726,0.00001244512,0.00007687487,0.00003161636,0.00001442229,0.00004730783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054144,"threshold_uncertainty_score":0.8341689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008906083526684122,"score_gpt":0.1849916442719943,"score_spread":0.1760855607453101,"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."}}