{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005917577,0.0001731299,0.0002405884,0.0003968791,0.0001420487,0.000004405122,0.000602159,0.0001108474,0.004363881],"category_scores_gemma":[0.0000670907,0.000154672,0.00004933696,0.001424453,0.004304737,0.0003601409,0.0006642917,0.0001717535,0.0002707621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272299,"about_ca_system_score_gemma":0.0000159028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008515961,"about_ca_topic_score_gemma":0.0002931939,"domain_scores_codex":[0.9982256,0.00003059819,0.0003362217,0.0004651984,0.0004468562,0.0004955028],"domain_scores_gemma":[0.9993634,0.00001582966,0.0001412781,0.000379103,0.000002368081,0.00009803008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000900683,0.0001514601,0.5850524,0.00000198864,0.000005504875,0.000007015812,0.001906112,0.00001707098,0.4016657,0.0004464042,0.00001911531,0.01071828],"study_design_scores_gemma":[0.0002157277,0.0001555722,0.4972564,0.000006876053,0.00000919075,0.00001312097,0.001701928,0.00002751692,0.493626,0.001343263,0.005444698,0.0001997273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843114,0.0001124965,0.00006909871,0.000099622,0.0001041845,0.0002076429,0.00001177437,0.00004528124,0.01503848],"genre_scores_gemma":[0.9970379,0.00008254312,0.002626052,0.00006674306,0.000004762823,0.00003119752,0.000001096218,0.000009660947,0.0001400495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09196038,"threshold_uncertainty_score":0.998405,"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."}}