{"id":"W2118035169","doi":"10.1007/s11104-005-1755-0","title":"Effect of Thioligands on Plant-Hg Accumulation and Volatilisation from Mercury-contaminated Mine Tailings","year":2005,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Tailings; Volatilisation; Mercury (programming language); Environmental chemistry; Chemistry; Phytoremediation; Contamination; Abiotic component; Soil water; Metalloid; Environmental science; Heavy metals; Soil science; Ecology; Metal; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001779524,0.0004103992,0.0003913437,0.0002430636,0.0004594206,0.0003285664,0.0003620305,0.0004649821,0.00120763],"category_scores_gemma":[0.0004004763,0.0001998907,0.0003059842,0.0002292727,0.0002262958,0.000239518,0.0002475159,0.0003810052,0.0002047447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006836568,"about_ca_system_score_gemma":0.0007756489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615878,"about_ca_topic_score_gemma":0.03533545,"domain_scores_codex":[0.9998374,0.00003206069,0.000012847,0.00004058575,0.00002723645,0.00004974335],"domain_scores_gemma":[0.9996131,0.0001337275,0.00005639723,0.00002983176,0.00007902145,0.00008798599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005300255,0.0001242737,0.003727546,0.00009427395,0.00006947521,0.00009370048,0.0001703191,0.0004615463,0.9851658,0.00004269489,0.0000778591,0.004672263],"study_design_scores_gemma":[0.00003638577,0.002864842,0.01003827,0.000006039771,0.00006664089,0.00005843575,0.0001098737,0.0007654233,0.9854638,0.00002811664,0.0005539547,0.000008212443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993454,0.0001413369,0.0001677788,0.00001736661,0.000006614228,0.000005408827,0.00008452353,0.00001208224,0.0002194176],"genre_scores_gemma":[0.9964658,0.0002286144,0.0004909621,0.00003304914,0.000006921784,0.00001037397,0.0002200556,0.0000136332,0.00253051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01615878,"threshold_uncertainty_score":0.03212947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553254200922853,"score_gpt":0.251972517048368,"score_spread":0.2364399750391395,"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."}}