{"id":"W3111580175","doi":"10.1016/j.jglr.2020.11.010","title":"Dreissena in Lake Ontario 30 years post-invasion","year":2020,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"NOAA Great Lakes Environmental Research Laboratory; University at Buffalo; State University of New York; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency","keywords":"Dreissena; Round goby; Neogobius; Mussel; Fishery; Range (aeronautics); Goby; Biomass (ecology); Predation; Abundance (ecology); Environmental science; Ecology; Oceanography; Biology; Bivalvia; Fish <Actinopterygii>; Mollusca; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001090194,0.00007725668,0.0001863483,0.00009362374,0.00008321533,0.0000270289,0.0003525103,0.0001021579,0.05361347],"category_scores_gemma":[0.0002200225,0.00006179317,0.00006502166,0.0003175659,0.0002128015,0.0002381519,0.0001656168,0.0008589196,0.002987029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880116,"about_ca_system_score_gemma":0.0001439378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009038014,"about_ca_topic_score_gemma":0.1547617,"domain_scores_codex":[0.9983219,0.0002124307,0.0003135159,0.0001545233,0.0006645598,0.0003330787],"domain_scores_gemma":[0.9994531,0.0001075913,0.00007740303,0.0001074764,0.0000450569,0.0002093321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002394509,0.0001483368,0.9549015,0.000006096478,0.00001023816,0.001685821,0.003944252,0.00007978599,0.01179661,0.00001649742,0.02178409,0.005387341],"study_design_scores_gemma":[0.0007187584,0.001130505,0.9754174,0.00002707673,0.000008798797,0.00007477481,0.0004028084,0.0001405962,0.001027329,0.0001686897,0.02078361,0.00009968577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933204,0.00001314044,0.000006561259,0.002062843,0.0000692286,0.000112106,0.000002194608,0.000003652432,0.004409884],"genre_scores_gemma":[0.9973327,0.00001468033,0.000223486,0.0003515376,0.00007321645,0.000001969614,0.000001528392,0.000008590127,0.001992324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1538579,"threshold_uncertainty_score":0.9977893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06684413369984371,"score_gpt":0.3133337646171568,"score_spread":0.2464896309173131,"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."}}