{"id":"W2935716232","doi":"10.1002/etc.4441","title":"Joint Probabilistic Analysis of Risk for Aquatic Species and Exceedence Frequency for the Agricultural Use of Chlorpyrifos in the Pampean Region, Argentina","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Chlorpyrifos; Mesocosm; Aquatic ecosystem; Pesticide; Chronic toxicity; Environmental science; Toxicology; Acute toxicity; Ecology; Environmental chemistry; Biology; Toxicity; Chemistry; Ecosystem","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":[0.002209787,0.0004605954,0.0003550478,0.001192024,0.0002694971,0.0007352988,0.0004590277,0.0003519912,0.001860066],"category_scores_gemma":[0.005119329,0.0002459972,0.0009023168,0.0007427153,0.000426064,0.0004126427,0.0007621871,0.0002905384,0.0001162714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009635639,"about_ca_system_score_gemma":0.0004488764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02521989,"about_ca_topic_score_gemma":0.01809666,"domain_scores_codex":[0.9990451,0.0003310577,0.00006199473,0.0002983268,0.0001575357,0.0001058915],"domain_scores_gemma":[0.9954191,0.002708604,0.00111858,0.0002511516,0.0003472621,0.0001552184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005348335,0.00007864093,0.868234,0.00008595126,0.0005517417,0.0003900394,0.0001658619,0.1134701,0.001824214,0.001310567,0.0003956585,0.01295839],"study_design_scores_gemma":[0.00001538727,0.0002502889,0.6657363,0.00002009606,0.0001688124,0.0003229154,0.0002337552,0.3305304,0.000502733,0.00138054,0.0008062556,0.00003254697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912118,0.0001344551,0.006715377,0.00005461512,0.000003975175,0.00004328574,0.001092092,0.00003772714,0.0007066273],"genre_scores_gemma":[0.9974395,0.00005633646,0.001363399,0.000003987475,0.000003704067,0.00002654657,0.0008147076,0.000003810917,0.0002879832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02521989,"threshold_uncertainty_score":0.05014616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182067411314454,"score_gpt":0.2009485749776478,"score_spread":0.1827418338462024,"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."}}