{"id":"W2143716663","doi":"10.1016/j.watres.2006.05.026","title":"Comprehensive modeling of mat density effect on duckweed (Lemna minor) growth under controlled eutrophication","year":2006,"lang":"en","type":"article","venue":"Water Research","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lemna minor; Eutrophication; Phosphorus; Biomass (ecology); Growth rate; Animal science; Nitrogen; Botany; Chemistry; Horticulture; Aquatic plant; Nutrient; Agronomy; Biology; Mathematics; Ecology; Macrophyte","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001501117,0.0003782167,0.0004370375,0.0001771602,0.0003441795,0.0004461308,0.0005317321,0.0005743196,0.0007543892],"category_scores_gemma":[0.0005306319,0.0002896197,0.0005112353,0.0001631019,0.0002833579,0.0003765787,0.0002126713,0.000245842,0.00006795164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189419,"about_ca_system_score_gemma":0.0008372387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05861663,"about_ca_topic_score_gemma":0.03883035,"domain_scores_codex":[0.9999487,0.000009859956,0.000002076546,0.00001318715,0.000009710184,0.00001653619],"domain_scores_gemma":[0.9997521,0.0001555208,0.00002769568,0.00001012027,0.00002983767,0.0000247539],"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":[0.00005078035,0.00003918407,0.001850007,0.00001731875,0.00001262724,0.00004209296,0.00001407495,0.9900622,0.006756326,0.000347028,0.000060668,0.000747723],"study_design_scores_gemma":[0.000005718482,0.00001970012,0.001012512,5.134123e-7,0.000006308401,0.000003672744,0.000007273324,0.9979259,0.0009194585,0.00006555194,0.00003043798,0.000002953881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940318,0.00004084005,0.003983068,0.00004126681,0.000004977563,0.00001049069,0.0001234112,0.00004485005,0.001719341],"genre_scores_gemma":[0.9988284,0.00002452713,0.0005388159,0.000006174408,0.000001432799,0.00000899429,0.0000348806,0.000008192394,0.0005486978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05861663,"threshold_uncertainty_score":0.1165509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734035150721084,"score_gpt":0.279686999498641,"score_spread":0.2523466479914301,"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."}}