{"id":"W2108947972","doi":"10.1139/f01-070","title":"Impact of zebra mussels (<i>Dreissena polymorpha</i>) on the pelagic lower trophic levels of Oneida Lake, New York","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New York Sea Grant, State University of New York; Research Foundation for the State University of New York; National Oceanic and Atmospheric Administration; New York State Department of Environmental Conservation","keywords":"Dreissena; Biology; Food web; Pelagic zone; Trophic level; Water column; Ecology; Zooplankton; Zebra mussel; Daphnia galeata; Fishery; Daphnia; Plankton; Phytoplankton; Standing crop; Benthic zone; Grazing; Biomass (ecology); Nutrient; Bivalvia; Mussel; Mollusca; Cladocera; Branchiopoda","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000641,0.0001353384,0.0002710164,0.00009315336,0.0002817069,0.00005080278,0.0004514974,0.00006298633,0.01638811],"category_scores_gemma":[0.0001931372,0.00007770096,0.0001172071,0.0004850866,0.001708345,0.000255876,0.00001865021,0.0001460258,0.00002909957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000537249,"about_ca_system_score_gemma":0.0006531554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01027483,"about_ca_topic_score_gemma":0.04131798,"domain_scores_codex":[0.9987499,0.00008204842,0.0004085748,0.0001420867,0.0002987818,0.0003185864],"domain_scores_gemma":[0.9989219,0.000202314,0.0003677478,0.0001460686,0.00001338995,0.0003485258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003697495,0.00005887061,0.973636,0.000003411983,0.00003524705,0.00006977561,0.00193532,0.0001494393,0.001444184,0.0002524119,0.0131627,0.009215705],"study_design_scores_gemma":[0.0003678873,0.002079092,0.9916049,0.00007714205,0.00005418007,0.0001663719,0.001105863,0.0002934477,0.0004248916,0.002847424,0.0008051742,0.0001736236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945849,0.0001367684,0.00003097366,0.002237177,0.0001994541,0.00008995015,0.000007978245,0.000001373669,0.002711435],"genre_scores_gemma":[0.9986652,0.0000163129,0.0002209336,0.0003230972,0.00004333766,5.891459e-7,2.046905e-7,0.000005062168,0.0007253314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03104315,"threshold_uncertainty_score":0.9963158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843502286918903,"score_gpt":0.2356619560038846,"score_spread":0.1972269331346956,"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."}}