{"id":"W2387341125","doi":"","title":"Present Situation and Development Trend of MRLs for Pesticides in and outside China","year":2009,"lang":"en","type":"article","venue":"Nongyaoxue xuebao","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Business; Commission; Harmony (color); Corporation; Food safety management; European commission; Environmental protection; Food safety; Operations management; European union; Political science; Geography; International trade; Engineering; Finance; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0002094469,0.00008350038,0.0001822093,0.00002141022,0.00006555377,0.00002246758,0.00005395327,0.00004634097,0.00001954035],"category_scores_gemma":[0.00005592194,0.00003493426,0.00002538514,0.0001119685,0.00002540819,0.00007175331,0.00001814218,0.00003555523,4.951691e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001016091,"about_ca_system_score_gemma":0.000007428788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869245,"about_ca_topic_score_gemma":0.002125669,"domain_scores_codex":[0.9993342,0.00002370727,0.0002242953,0.0001753429,0.00009957451,0.0001428816],"domain_scores_gemma":[0.9996914,0.0001417485,0.00006766971,0.00002694426,0.00002119855,0.00005106573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007325567,0.0001450301,0.08024753,0.00002334825,0.0000186446,0.000003358443,0.0007352451,0.0001172678,0.0521423,0.0004251162,0.0001250367,0.8659438],"study_design_scores_gemma":[0.0001695183,0.0001322085,0.9934165,0.00002445475,0.000009563506,0.00000185792,0.00009043093,0.0005235948,0.003117295,0.001168158,0.001261028,0.00008531972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978626,0.0003955235,0.00007178888,0.00105557,0.000008182823,0.0001459689,0.000007738855,0.000007566537,0.0004450748],"genre_scores_gemma":[0.9989721,0.00007830551,0.0007373368,0.00004322879,0.00004132275,0.000007723032,0.00002869914,3.878629e-7,0.000090947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.913169,"threshold_uncertainty_score":0.1424578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085789419635932,"score_gpt":0.2468159836111971,"score_spread":0.2259580894148377,"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."}}