{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004201799,0.0001590523,0.0002814317,0.00003591406,0.0001617519,0.00003471752,0.0002776707,0.0001063953,0.001055245],"category_scores_gemma":[0.00004099033,0.0001389783,0.00005877774,0.0006681923,0.00009926213,0.00009872906,0.0001200382,0.0001413497,0.0009090335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003731122,"about_ca_system_score_gemma":0.00001521691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503517,"about_ca_topic_score_gemma":0.01411744,"domain_scores_codex":[0.9983547,0.0001357031,0.0005358789,0.0004121988,0.0002155306,0.0003459523],"domain_scores_gemma":[0.9990329,0.0002224911,0.000217839,0.0003810577,0.000006798819,0.0001389588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006539179,0.0003189679,0.9878967,0.00001103995,0.000006233798,0.000006914225,0.00006612721,0.004557846,0.004478836,0.001339912,0.0001129321,0.001197961],"study_design_scores_gemma":[0.0005794953,0.00008581163,0.7932799,0.00002312965,0.00002042301,0.00002075165,0.0002549159,0.1497673,0.0001200691,0.00313719,0.05212786,0.0005830671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813668,0.00002697308,0.01131243,0.0001461004,0.00008475191,0.0006948542,0.00002706547,0.00006588069,0.006275141],"genre_scores_gemma":[0.996554,0.00002198454,0.002665091,0.00009015552,0.00009305602,0.0003585284,0.00002981347,0.00001161296,0.0001757451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1946167,"threshold_uncertainty_score":0.9998689,"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."}}