{"id":"W2126349162","doi":"10.1002/etc.3265","title":"Examining impacts of current-use pesticides in Southern Ontario using in situ exposures of the amphipod<i>Hyalella azteca</i>","year":2015,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; California Department of Pesticide Regulation","keywords":"Hyalella azteca; Amphipoda; Pesticide; Environmental science; Current (fluid); Ecology; Environmental chemistry; Biology; Oceanography; Crustacean; Chemistry; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00007422035,0.0002830823,0.0001756436,0.0002534561,0.0007547731,0.0005108631,0.0002808794,0.000251547,0.0005250829],"category_scores_gemma":[0.0001208229,0.0001646509,0.0001429631,0.0003278718,0.0003309106,0.0001931343,0.0002819714,0.000216085,0.00007028932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00604715,"about_ca_system_score_gemma":0.002883015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.755641,"about_ca_topic_score_gemma":0.9289482,"domain_scores_codex":[0.9998804,0.000005557511,0.000004439462,0.00003641756,0.00004867147,0.00002457412],"domain_scores_gemma":[0.9998148,0.0000103651,0.00005915001,0.000005573482,0.00007565899,0.00003444676],"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":[0.0003147355,0.0000837429,0.3304648,0.0001821968,0.00006096708,0.0004174043,0.001369205,0.0004580663,0.6581662,0.00005183173,0.0002453394,0.008185602],"study_design_scores_gemma":[0.000008242796,0.0003499886,0.9734278,0.000009018127,0.00003901261,0.0001010682,0.001211503,0.0003053135,0.0228436,0.0000187599,0.001676456,0.000009217506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987345,0.0001438224,0.00009770306,0.00002412773,0.000001426374,0.00001318026,0.0001682221,0.000004614565,0.0008123793],"genre_scores_gemma":[0.9974276,0.00033555,0.0005019639,0.0000602898,0.000001368489,0.000015006,0.0002831214,0.000001957057,0.001373022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.244359,"threshold_uncertainty_score":0.4915962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646868840402202,"score_gpt":0.2363026940348276,"score_spread":0.1998340056308056,"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."}}