{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002784044,0.0002683989,0.0003023813,0.0003975249,0.0006638599,0.0007286922,0.0002550709,0.0002392537,0.001458415],"category_scores_gemma":[0.0009043667,0.0002324624,0.0002001878,0.0003527993,0.0003832993,0.0003350877,0.0005819228,0.0003603711,0.0001374416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234162,"about_ca_system_score_gemma":0.001402573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4742559,"about_ca_topic_score_gemma":0.8082563,"domain_scores_codex":[0.9998016,0.00002798988,0.00001656563,0.00004311832,0.0000555362,0.00005518406],"domain_scores_gemma":[0.9990903,0.0001386784,0.0002356423,0.00003501515,0.0002245941,0.0002757288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002703191,0.00005196024,0.9869025,0.00004267164,0.0001050339,0.0001603021,0.000339045,0.0004751174,0.008248379,0.0000366632,0.0004987189,0.002869325],"study_design_scores_gemma":[0.000003375183,0.00003179177,0.9992241,0.000002330895,0.00001134467,0.00001423271,0.0001351527,0.0001669948,0.0002058499,0.000002741078,0.0001997684,0.000002229628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993542,0.00003023069,0.00001659386,0.00003139297,0.000001915922,0.000003513371,0.0002008551,0.000002652945,0.0003587287],"genre_scores_gemma":[0.9985265,0.00007520836,0.00009662435,0.00003548017,0.000002905208,0.00001034975,0.0005979009,0.000002932965,0.0006521715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4742559,"threshold_uncertainty_score":0.9429908,"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."}}