{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001900649,0.0002448192,0.0001780802,0.0009657058,0.001045124,0.0006067305,0.000246748,0.0002577785,0.0006402276],"category_scores_gemma":[0.0002902151,0.0001609643,0.0001179254,0.001083218,0.0003523506,0.0001867596,0.0003173566,0.0001434612,0.0001015278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179308,"about_ca_system_score_gemma":0.001177501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.22545,"about_ca_topic_score_gemma":0.4935899,"domain_scores_codex":[0.9997426,0.00002683137,0.00001021909,0.0001007486,0.00007945884,0.00004008609],"domain_scores_gemma":[0.9995559,0.00006053241,0.0001513309,0.00001656326,0.0001568912,0.00005869045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001595006,0.00005161321,0.8140508,0.0001236736,0.00004839391,0.000486868,0.003798294,0.0001309951,0.1685497,0.00006162722,0.0002075287,0.01233097],"study_design_scores_gemma":[0.0000023288,0.0001006447,0.9926751,0.00001271857,0.0000120088,0.0001817719,0.001712991,0.00005052956,0.003673702,0.00001406415,0.00155925,0.000004917273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982937,0.0002586706,0.0001452808,0.00002672809,0.000001159317,0.000007865991,0.0001871176,0.000005962558,0.001073495],"genre_scores_gemma":[0.9967369,0.0005771471,0.0006960053,0.00007903537,0.000002621202,0.00001812238,0.0007034075,0.000006233812,0.00118043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22545,"threshold_uncertainty_score":0.4482756,"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."}}