{"id":"W1546791965","doi":"10.1016/j.envpol.2004.06.005","title":"Zinc and copper uptake by plants under two transpiration rates. Part I. Wheat (Triticum aestivum L.)","year":2005,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transpiration; Shoot; Zinc; Copper; Irrigation; Chemistry; Wastewater; Horticulture; Agronomy; Animal science; Biology; Environmental engineering; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001611612,0.0005206746,0.000421941,0.0002285956,0.0002557183,0.0004044653,0.000303741,0.0004350193,0.001140205],"category_scores_gemma":[0.0001924782,0.0002626815,0.0003080901,0.0003340998,0.0003025032,0.000395741,0.0003365791,0.0005615675,0.0002047479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008636,"about_ca_system_score_gemma":0.0002205615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005410645,"about_ca_topic_score_gemma":0.005355706,"domain_scores_codex":[0.9998645,0.00002277958,0.00001035894,0.00004814175,0.00001899595,0.0000352217],"domain_scores_gemma":[0.9998067,0.00005517229,0.00003889575,0.00002265532,0.00002668848,0.00004988063],"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":[0.001228623,0.00006246668,0.001151267,0.00006616706,0.00002735972,0.00004728273,0.00008728125,0.0001691438,0.9951533,0.00009625038,0.00009137073,0.001819276],"study_design_scores_gemma":[0.0003346152,0.003507521,0.1548771,0.00003016895,0.0002724624,0.0002812199,0.0004020929,0.005578772,0.8301715,0.0005628527,0.003923767,0.00005796635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984086,0.0004342467,0.000312182,0.00005614885,0.00001174562,0.000006863678,0.0002665504,0.00002976554,0.0004739099],"genre_scores_gemma":[0.9960979,0.0002152653,0.0002903047,0.00006276602,0.000004555723,0.00001712359,0.0006857014,0.0000198311,0.002606518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005410645,"threshold_uncertainty_score":0.01075828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107495413934278,"score_gpt":0.2058400668779411,"score_spread":0.1950905254845133,"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."}}