{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001260068,0.0002570887,0.0001724603,0.000008970404,0.0001924567,0.0000163877,0.0002496004,0.0001089179,0.04912823],"category_scores_gemma":[0.00001895958,0.0002415633,0.00008593652,0.00006411157,0.0003929445,0.0002515557,0.0002241706,0.0001458683,0.002224057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838197,"about_ca_system_score_gemma":0.000003909114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002128222,"about_ca_topic_score_gemma":0.000009108067,"domain_scores_codex":[0.9985531,0.00002578084,0.0002872482,0.0004329787,0.0003548413,0.0003460305],"domain_scores_gemma":[0.9992763,0.00001636202,0.0001160658,0.0003794279,0.00000133008,0.0002104918],"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":[0.00002545076,0.0002375817,0.03531557,0.000007944557,0.00002786427,0.000006761524,0.000565489,0.000001065629,0.9340801,0.000002028272,0.02806445,0.001665718],"study_design_scores_gemma":[0.0003580932,0.00002616549,0.06060604,0.000008012443,0.00003594276,0.00002549016,0.0004319779,0.00001662935,0.8683661,0.0001358085,0.06962283,0.0003669653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647781,0.0002804905,0.00003743582,0.0000812143,0.00003934713,0.0001422712,0.0001550624,0.00006618584,0.03441992],"genre_scores_gemma":[0.9910752,0.0001646955,0.0005315187,0.000230156,0.00004982924,0.0000619323,0.0002536588,0.00002869017,0.007604321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06571402,"threshold_uncertainty_score":0.9985528,"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."}}