{"id":"W2044700369","doi":"10.1104/pp.113.224303","title":"Speciation and Distribution of Arsenic in the Nonhyperaccumulator Macrophyte <i>Ceratophyllum demersum</i>   ","year":2013,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsches Elektronen-Synchrotron; National Research Council Canada; Universität Konstanz; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Ceratophyllum demersum; Arsenite; Chemistry; Glutathione; Genetic algorithm; Arsenate; Aquatic plant; Botany; Environmental chemistry; Chromatography; Arsenic; Biochemistry; Biology; Macrophyte","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00004280213,0.0001244778,0.0001125562,0.0002343444,0.0001966109,0.0001599555,0.0001165071,0.0002341023,0.0003546106],"category_scores_gemma":[0.00005941386,0.00009904218,0.0001003094,0.000107583,0.0001209937,0.0001601062,0.0001558983,0.0001881715,0.0001054733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003871357,"about_ca_system_score_gemma":0.0001784288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006772329,"about_ca_topic_score_gemma":0.009033746,"domain_scores_codex":[0.9999633,0.000003634856,0.000002857761,0.00001527675,0.000007906463,0.000007108943],"domain_scores_gemma":[0.999948,0.000008116778,0.00001527299,0.000004509893,0.00001353566,0.00001053664],"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":[0.00003834658,0.000002092226,0.001237184,0.00001817328,0.00000213723,0.00003112225,0.0000368452,0.00002557948,0.9981107,0.00001354831,0.00001085201,0.0004735146],"study_design_scores_gemma":[0.00001268372,0.0004013976,0.4508176,0.00001256037,0.00004504875,0.0006220223,0.0004892283,0.002378271,0.5421856,0.0001425445,0.002865666,0.00002738974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990138,0.0001413026,0.0002061132,0.00001859376,7.97443e-7,0.000003530163,0.0001753143,0.0000196049,0.0004209198],"genre_scores_gemma":[0.9980339,0.0001196077,0.0006821051,0.00002902968,0.000001599285,0.0000062429,0.0002870843,0.000007695129,0.0008328378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006772329,"threshold_uncertainty_score":0.01346582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006781345872910241,"score_gpt":0.1980021380784714,"score_spread":0.1912207922055612,"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."}}