{"id":"W2323128186","doi":"10.1021/es2010072","title":"Methanogens: Principal Methylators of Mercury in Lake Periphyton","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Parks Canada","keywords":"Periphyton; Demethylation; Methanogenesis; Environmental chemistry; Methylmercury; Chemistry; Mercury (programming language); Biology; Botany; Algae; Ecology; Biochemistry; Bioaccumulation; Methane","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":[0.0001941409,0.0003929572,0.0003101814,0.0004246233,0.0003658349,0.0004173937,0.0002289854,0.0003042261,0.0003329291],"category_scores_gemma":[0.0002145279,0.0001955149,0.0001586423,0.0003730356,0.0002021909,0.0002155113,0.0003485283,0.000182048,0.0002004287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008204295,"about_ca_system_score_gemma":0.0009357634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06427169,"about_ca_topic_score_gemma":0.1110895,"domain_scores_codex":[0.9997839,0.00001885333,0.00001713011,0.00006737435,0.00005373196,0.00005899393],"domain_scores_gemma":[0.9998072,0.00001798627,0.00003809292,0.000006726468,0.00008187032,0.00004815157],"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":[0.0002677398,0.00001664923,0.03327069,0.0001038793,0.00001841821,0.00003011646,0.0002503476,0.00005958556,0.9623289,0.00001861795,0.00004015965,0.003594832],"study_design_scores_gemma":[0.00002111674,0.0003842509,0.8253233,0.00002618321,0.00007325512,0.000173456,0.000578518,0.000941076,0.1704184,0.00003849105,0.001997157,0.00002480528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99803,0.0007090691,0.000225692,0.00001864251,0.000001830123,0.0000145252,0.0006947953,0.00001419691,0.0002912302],"genre_scores_gemma":[0.9951841,0.0005707499,0.001295583,0.00003034798,0.000004967607,0.00003664947,0.001498084,0.000007722636,0.001371761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06427169,"threshold_uncertainty_score":0.1277952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874865775239549,"score_gpt":0.2451666561321228,"score_spread":0.2264179983797273,"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."}}