{"id":"W2039221003","doi":"10.1016/j.scitotenv.2007.09.037","title":"Uptake, transport and transformation of arsenate in radishes (Raphanus sativus)","year":2007,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Arsenate; Arsenic; Chemistry; Arsenite; Raphanus; Xylem; Environmental chemistry; Hyperaccumulator; Inductively coupled plasma mass spectrometry; Shoot; Botany; Phytoremediation; Mass spectrometry; Chromatography; Biology; Heavy metals","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342277,0.00006555628,0.00007622667,0.00003561113,0.00009953103,0.000003137208,0.0002243909,0.00001943231,0.0001381929],"category_scores_gemma":[0.00001155752,0.00003968018,0.00003425319,0.0002445261,0.001415839,0.0002320071,0.00005518532,0.0000586721,0.000005271826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008656229,"about_ca_system_score_gemma":0.000008342603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227622,"about_ca_topic_score_gemma":0.0000260879,"domain_scores_codex":[0.9989949,0.00002132179,0.0002615227,0.0001290229,0.0004454291,0.0001478091],"domain_scores_gemma":[0.9996474,0.00002581064,0.0001099279,0.0001806382,0.000002020366,0.00003414645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007776404,0.0002224151,0.006103247,0.00002133624,0.000009314166,9.178058e-7,0.03015072,0.04479614,0.7872056,0.003903799,0.00001176441,0.1274969],"study_design_scores_gemma":[0.0002474749,0.00003208987,0.9062758,0.00001214144,0.000006726558,0.000005408374,0.0007432052,0.002411872,0.08951175,0.0006099771,0.00008670164,0.00005686863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925674,0.00002424881,0.0003406657,0.0004327128,0.00005257074,0.0002490373,0.000002105947,0.000002899777,0.00632836],"genre_scores_gemma":[0.9995822,0.0000417326,0.0001601244,0.00001361656,0.000002915925,0.000002712101,3.751166e-7,0.000002465132,0.0001938077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9001725,"threshold_uncertainty_score":0.521672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006923172818606225,"score_gpt":0.1969439317068159,"score_spread":0.1900207588882097,"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."}}