{"id":"W2027212831","doi":"10.1071/en11006","title":"Acidification increases mercury uptake by a freshwater alga, Chlamydomonas reinhardtii","year":2011,"lang":"en","type":"article","venue":"Environmental Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biogeochemical cycle; Chlamydomonas; Mercury (programming language); Chlamydomonas reinhardtii; Biomagnification; Environmental chemistry; Chemistry; Algae; Bioconcentration; Methylmercury; Biophysics; Bioaccumulation; Biochemistry; Botany; Biology","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":[0.0001704611,0.000273906,0.0003260768,0.0001305053,0.0002026132,0.0003733832,0.0001821449,0.0003149087,0.0009401821],"category_scores_gemma":[0.0002594191,0.0001711648,0.0003370979,0.000109399,0.0001788364,0.0002544927,0.000502856,0.0003310775,0.0001872355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473665,"about_ca_system_score_gemma":0.0003668698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037413,"about_ca_topic_score_gemma":0.006944598,"domain_scores_codex":[0.999793,0.00002586131,0.00002017938,0.00004985545,0.00005501869,0.00005615656],"domain_scores_gemma":[0.9998301,0.00004668774,0.00003208514,0.00002503986,0.00003287983,0.00003316831],"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":[0.0001395949,0.00001767666,0.001731715,0.00003739758,0.00001116059,0.00003592311,0.00003395691,0.00007313716,0.997035,0.00001571208,0.00003296412,0.0008358107],"study_design_scores_gemma":[0.00003220991,0.001376613,0.1531169,0.00002126076,0.00008755844,0.0002654142,0.000372961,0.001850729,0.839796,0.00006023585,0.002990894,0.00002915534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985766,0.0004732114,0.0001864647,0.00006480329,0.00001332545,0.000006051392,0.0001454858,0.00002377588,0.0005102081],"genre_scores_gemma":[0.9982917,0.0002415576,0.0004183108,0.00004967393,0.00000344233,0.000004448008,0.0001526862,0.000006648009,0.0008316435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037413,"threshold_uncertainty_score":0.0206275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469937685932882,"score_gpt":0.204174645989845,"score_spread":0.1894752691305162,"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."}}