{"id":"W2092519569","doi":"10.1890/1051-0761(2001)011[0215:bsqisa]2.0.co;2","title":"BIOMONITORING SITE QUALITY IN STRESSED AQUATIC ECOSYSTEMS USING<i>VALLISNERIA AMERICANA</i>","year":2001,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microsite; Environmental science; Contamination; Ecology; Ecosystem; Biomonitoring; Vegetation (pathology); Leaf area index; Water quality; Sediment; Aquatic plant; Aquatic ecosystem; Hydrology (agriculture); Biology; Macrophyte; Agronomy; Seedling","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002056963,0.0002892996,0.0002011491,0.0004380397,0.0002363311,0.0004989074,0.0001983331,0.0001463337,0.0002803486],"category_scores_gemma":[0.0002135112,0.0001150421,0.0001957256,0.0003744822,0.000198954,0.0001551413,0.0001949086,0.0001952678,0.00009729087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205196,"about_ca_system_score_gemma":0.0002013704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03371583,"about_ca_topic_score_gemma":0.08500775,"domain_scores_codex":[0.9998913,0.00001749462,0.000007049145,0.00004528939,0.00002566062,0.00001326589],"domain_scores_gemma":[0.9997773,0.00003851853,0.0001060884,0.00001140892,0.00004223181,0.0000245484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001882446,0.00007175816,0.5363554,0.0001186912,0.0001086176,0.00006892865,0.0003077946,0.002552829,0.4430506,0.00007859357,0.0001353266,0.01696329],"study_design_scores_gemma":[0.000003182377,0.000176498,0.9880959,0.000003625344,0.00002546984,0.00004594971,0.000159224,0.002217398,0.00882218,0.00003280003,0.0004097887,0.000007867437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987986,0.0001199826,0.0005572101,0.000007865146,7.908179e-7,0.000005533673,0.0001812029,0.00002164559,0.0003071251],"genre_scores_gemma":[0.9980059,0.000104734,0.001397524,0.000009340461,0.000001011734,0.000007251058,0.0002627049,0.000003736874,0.0002076849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03371583,"threshold_uncertainty_score":0.06703919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651688814309332,"score_gpt":0.2952019386444207,"score_spread":0.2686850505013274,"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."}}