{"id":"W4312101650","doi":"10.1002/etc.5522","title":"Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes","year":2022,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Environmental Protection Agency","keywords":"Tributary; Pesticide; Diazinon; Environmental science; Metolachlor; Alachlor; Toxaphene; Atrazine; Simazine; Chlorothalonil; Toxicology; Environmental chemistry; Biology; Ecology; Chemistry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0003835438,0.0003999115,0.0003317701,0.001236407,0.0006100581,0.001280772,0.0003694897,0.0002538769,0.0006341838],"category_scores_gemma":[0.0007700525,0.0001413907,0.0002322039,0.001127408,0.0003499593,0.0002393443,0.0006337711,0.0001700622,0.00008616138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994354,"about_ca_system_score_gemma":0.002152083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1436697,"about_ca_topic_score_gemma":0.3854311,"domain_scores_codex":[0.9995863,0.00009123321,0.00003147281,0.0000843227,0.0001387723,0.00006783731],"domain_scores_gemma":[0.999516,0.00007146392,0.0001583753,0.00001545195,0.0001463634,0.00009239215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003426683,0.0001449797,0.8694066,0.0001741595,0.0001468387,0.001396845,0.001337053,0.00325092,0.08424576,0.0002046326,0.0005775622,0.03877188],"study_design_scores_gemma":[0.00002448237,0.000481094,0.9741097,0.00002267117,0.00009406297,0.0004060548,0.001919629,0.004477613,0.01500008,0.000189852,0.003245281,0.00002951992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984925,0.0002021869,0.000172606,0.00005119647,0.00000123634,0.00002701837,0.0001114156,0.00001550662,0.0009263833],"genre_scores_gemma":[0.9973884,0.000230548,0.001099601,0.00008152697,0.000003314753,0.00002417831,0.0002647426,0.000005170699,0.0009023826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436697,"threshold_uncertainty_score":0.2856668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00346759020737059,"score_gpt":0.1792917508802881,"score_spread":0.1758241606729175,"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."}}