{"id":"W2928508641","doi":"10.1016/j.chemosphere.2019.03.176","title":"Neonicotinoids and other agricultural stressors collectively modify aquatic insect communities","year":2019,"lang":"en","type":"article","venue":"Chemosphere","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Water Security Agency; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Rural Development Administration","keywords":"Wetland; Ecology; Aquatic insect; Environmental science; Ordination; Chironomidae; Aquatic ecosystem; Vegetation (pathology); Neonicotinoid; Biology; Habitat; Imidacloprid; Pesticide; Larva","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130295,0.0002519265,0.0003214249,0.0004101185,0.0003521903,0.0004562254,0.0001858412,0.0003079573,0.001121445],"category_scores_gemma":[0.0002345201,0.0001500875,0.0002068632,0.0002420075,0.0003268662,0.0003690731,0.0006375275,0.0002524997,0.0001886105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005718117,"about_ca_system_score_gemma":0.0002931103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003680642,"about_ca_topic_score_gemma":0.01079427,"domain_scores_codex":[0.9998212,0.00004085826,0.000009640623,0.00005874036,0.00003666306,0.00003278254],"domain_scores_gemma":[0.9997961,0.00002261549,0.0000648419,0.00001996937,0.00003760673,0.00005889701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006077032,0.00006677672,0.05313783,0.00005382399,0.00008202054,0.0001252602,0.0002458309,0.000200323,0.9346954,0.000076565,0.0001659652,0.01054245],"study_design_scores_gemma":[0.00001916908,0.000660598,0.9642357,0.000008353541,0.00005911784,0.0001064691,0.0008725626,0.0007357731,0.03143967,0.0002504741,0.001597141,0.00001496707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985967,0.000206816,0.0002580059,0.000040967,0.000006410279,0.000007917344,0.00009295311,0.00001095489,0.0007792175],"genre_scores_gemma":[0.997825,0.0002516474,0.0005197786,0.0000882473,0.000008405929,0.00001684408,0.0001537303,0.000006037721,0.001130216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003680642,"threshold_uncertainty_score":0.007318437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241150498605349,"score_gpt":0.2322087668189982,"score_spread":0.1997972618329447,"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."}}