{"id":"W2056926073","doi":"10.1002/aoc.183","title":"Biomethylation and bioaccumulation of arsenic(V) by marine alga <i>Fucus gardneri</i>","year":2001,"lang":"en","type":"article","venue":"Applied Organometallic Chemistry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Arsenate; Fucus; Arsenic; Fucus vesiculosus; Environmental chemistry; Bioaccumulation; Arsenite; Algae; Seawater; Inductively coupled plasma mass spectrometry; Chromatography; Botany; Mass spectrometry; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001254213,0.0003921788,0.0001863336,0.00029799,0.0003635551,0.0003862631,0.0001496695,0.000228381,0.0002897744],"category_scores_gemma":[0.0001600379,0.0001269161,0.0001259243,0.0002201586,0.0001911327,0.0001393759,0.000206438,0.000151518,0.0001264912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394263,"about_ca_system_score_gemma":0.0003024657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03130258,"about_ca_topic_score_gemma":0.03303407,"domain_scores_codex":[0.9999121,0.00001233267,0.000005388848,0.00002354311,0.00002504746,0.00002159885],"domain_scores_gemma":[0.9999375,0.00000538453,0.00001479291,0.000005308842,0.0000199919,0.00001701041],"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":[0.0001077173,0.000007286538,0.005195665,0.00001739568,0.000007785886,0.00004752756,0.00007422132,0.00005224947,0.9933552,0.00001653405,0.00001016065,0.001108155],"study_design_scores_gemma":[0.00001307717,0.0005606215,0.2436651,0.00001153619,0.00004803619,0.0005497267,0.000518153,0.0007717991,0.751471,0.00007882996,0.002290691,0.00002154366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993684,0.0001824288,0.000117547,0.000008739164,0.000001083481,0.000001876614,0.00006315783,0.000004944323,0.0002518829],"genre_scores_gemma":[0.9979539,0.0002435282,0.0005170018,0.0000140592,0.000001600978,0.000003928818,0.0003073122,0.000004494281,0.0009542432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03130258,"threshold_uncertainty_score":0.06224072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003578215119933904,"score_gpt":0.181166035140205,"score_spread":0.1775878200202711,"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."}}