{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620179,0.0001728149,0.0002019722,0.000542302,0.00108254,0.0006944441,0.0003658414,0.0005412287,0.001259357],"category_scores_gemma":[0.0006329426,0.0001893735,0.0003264735,0.000557454,0.000384866,0.0005321496,0.0006602278,0.0004293783,0.0002762748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004328527,"about_ca_system_score_gemma":0.002863446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7625979,"about_ca_topic_score_gemma":0.9307376,"domain_scores_codex":[0.9997942,0.00001100696,0.000009417213,0.00003243263,0.00004313672,0.0001097752],"domain_scores_gemma":[0.9992542,0.00002890294,0.0002039007,0.00001918796,0.0002740363,0.0002198104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002177868,0.00004294009,0.9956602,0.00001030722,0.00004317044,0.0001808409,0.001129242,0.00004708524,0.0008807542,0.00003000204,0.0003402623,0.001417295],"study_design_scores_gemma":[0.000001473805,0.00001617478,0.9991046,0.00000224034,0.000007445825,0.00002589415,0.0003835278,0.00002416901,0.00003074312,0.000004735347,0.0003968904,0.000002128372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985183,0.0001434412,0.00001276018,0.00009551379,0.000004251595,0.000002831622,0.0006354781,0.000001735173,0.0005856566],"genre_scores_gemma":[0.9965888,0.0001203146,0.00001580869,0.00003420515,0.000003695847,0.000004635847,0.0009738969,0.000001010123,0.002257634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2374021,"threshold_uncertainty_score":0.4776005,"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."}}