{"id":"W1977236680","doi":"10.1081/css-120017419","title":"Phyto-extraction of Copper, Iron, Manganese, and Zinc from Environmentally Contaminated Sites in Ethiopia, with Three Grass Species","year":2003,"lang":"en","type":"article","venue":"Communications in Soil Science and Plant Analysis","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"International Development Research Centre; University of Saskatchewan","keywords":"Manganese; Zinc; Copper; Environmental chemistry; Contamination; Extraction (chemistry); Chemistry; Environmental science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004849228,0.00008460637,0.0001781755,0.0001190611,0.0002277364,0.00005190435,0.0002627293,0.00004382873,0.00003606241],"category_scores_gemma":[0.00004349307,0.00004038411,0.00002192464,0.001278494,0.0004436058,0.0002438305,0.0000712748,0.0001288222,0.000001518171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003771824,"about_ca_system_score_gemma":0.00001007588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315582,"about_ca_topic_score_gemma":0.1339358,"domain_scores_codex":[0.999229,0.00009139331,0.0001791491,0.0002085456,0.0001557668,0.0001362123],"domain_scores_gemma":[0.9991751,0.0005087383,0.000095414,0.0001499762,0.00003103373,0.00003978578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001500449,0.00009952466,0.743216,0.000001921803,0.00001651791,0.000001663605,0.0001790186,0.00002933166,0.2549406,0.0002092249,0.00001065617,0.001280484],"study_design_scores_gemma":[0.000137028,0.00005395316,0.9899819,0.00003156792,0.00005681105,0.000007353985,0.00128647,0.001714187,0.005516393,0.0000909086,0.001020639,0.0001027839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981939,0.0006415441,0.000005437582,0.0002095506,0.000008434619,0.00008637661,0.00009429013,0.000005257378,0.0007552227],"genre_scores_gemma":[0.9975194,0.002021028,0.0001941064,0.00002561462,0.000002939066,0.000008781613,0.0002014939,3.891996e-7,0.00002622958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494242,"threshold_uncertainty_score":0.8818676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374396372017991,"score_gpt":0.2362530398038026,"score_spread":0.2125090760836226,"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."}}