{"id":"W2911353414","doi":"10.1039/c8ew00890f","title":"Effectiveness of a copper based molluscicide for controlling <i>Dreissena</i> adults","year":2019,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Department of Water Resources","keywords":"Molluscicide; Dreissena; Copper; Environmental science; Ecology; Biology; Snail; Metallurgy; Materials science; Mollusca; Bivalvia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004128376,0.0001831367,0.0003121593,0.0003186745,0.0004321641,0.00001924344,0.001029858,0.0002131491,0.003284852],"category_scores_gemma":[0.0001037867,0.0001325192,0.00007780631,0.0005869003,0.00496797,0.0003134327,0.0006938722,0.0003484176,0.003070308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667954,"about_ca_system_score_gemma":0.00004330698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007840269,"about_ca_topic_score_gemma":0.00001723094,"domain_scores_codex":[0.9967651,0.0001876231,0.0002947896,0.0008063528,0.0008024985,0.001143674],"domain_scores_gemma":[0.9990051,0.0002288734,0.00006207913,0.000560545,0.00001748953,0.0001259573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000269933,0.0002228192,0.1320805,0.00002806702,0.00000467634,0.000006552556,0.00007958773,0.0004527848,0.865877,0.0001444771,0.00003533459,0.0007982535],"study_design_scores_gemma":[0.00175774,0.0009880657,0.02913281,0.0000440719,0.000008081137,0.000008978824,0.000321931,0.004799882,0.9610301,0.001447598,0.0002721326,0.0001886385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964191,0.0000148114,0.0003011956,0.0003429871,0.0001169522,0.001909748,0.00001399885,0.00004095983,0.000840209],"genre_scores_gemma":[0.9984311,0.000002831355,0.0009182662,0.00004708533,0.000006649067,0.0003163276,0.00001087082,0.00001896695,0.0002478356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029477,"threshold_uncertainty_score":0.9977399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162798471871182,"score_gpt":0.2777285715632225,"score_spread":0.2661005868445107,"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."}}