{"id":"W1976406986","doi":"10.1021/es050804k","title":"Perchlorate and Nitrate in Leafy Vegetables of North America","year":2005,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Perchlorate; Nitrate; Lactuca; Environmental science; Leafy vegetables; Leafy; Chemistry; Toxicology; Environmental chemistry; Agronomy; Food science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001910428,0.0001852692,0.0002487924,0.0002319965,0.0001299344,0.00001433916,0.0004703048,0.00007181611,0.001191239],"category_scores_gemma":[0.0000197869,0.0001628474,0.00004038635,0.001183924,0.00497222,0.0004741893,0.000691331,0.0002032535,0.0003357963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193619,"about_ca_system_score_gemma":0.000006488512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551621,"about_ca_topic_score_gemma":0.0002553307,"domain_scores_codex":[0.9982389,0.0000152449,0.0003073511,0.0005483007,0.0003696707,0.000520529],"domain_scores_gemma":[0.9994109,0.00001502288,0.0001087671,0.0003165361,7.585039e-7,0.0001480757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006422392,0.000161359,0.510654,0.000001240465,0.000002682151,0.00000321761,0.0001208335,0.001929076,0.4083941,0.000008428637,0.00001445085,0.07870425],"study_design_scores_gemma":[0.0003596774,0.0001518302,0.8155482,0.000009533382,0.00001450866,0.00002197853,0.0003589635,0.002471406,0.175046,0.0003517483,0.005346087,0.0003201325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973016,0.000167421,0.00002854453,0.0005898154,0.00001104389,0.0001140744,0.000008539711,0.0000239915,0.001754994],"genre_scores_gemma":[0.9981596,0.0004263272,0.00109467,0.0001429417,0.00000804932,0.00001119057,0.000004017797,0.00000961553,0.0001435586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3048942,"threshold_uncertainty_score":0.9997218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004029007989803182,"score_gpt":0.1945449329513128,"score_spread":0.1905159249615096,"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."}}