{"id":"W2005572983","doi":"10.1021/es034424f","title":"The Rise and Fall of Mercury Methylation in an Experimental Reservoir","year":2004,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Fisheries and Oceans Canada","funders":"","keywords":"Mercury (programming language); Methylation; Environmental science; Mercury poisoning; Environmental chemistry; Chemistry; Biology; Computer science; Genetics; Toxicity","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.0005148252,0.00010923,0.0001126885,0.0001367939,0.0003934832,0.00001803832,0.0003866186,0.00006246538,0.00007283933],"category_scores_gemma":[0.00003986779,0.00008145958,0.00001606559,0.0006044676,0.005011852,0.0005106939,0.0004570718,0.0001180926,0.00003466348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201426,"about_ca_system_score_gemma":0.00001114386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624343,"about_ca_topic_score_gemma":0.0002367181,"domain_scores_codex":[0.9987884,0.00002797939,0.0002151764,0.0003192106,0.000342893,0.0003063395],"domain_scores_gemma":[0.9995425,0.00002164587,0.00008480457,0.0002760598,0.000001674373,0.00007329891],"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":[0.00001014573,0.0001044687,0.1609076,5.454946e-7,0.00000137694,0.000001846888,0.001241577,0.000348427,0.8299603,0.0009662792,0.000005297718,0.006452092],"study_design_scores_gemma":[0.0005826302,0.0003770248,0.3535649,0.000007468507,0.000004404664,0.00001464335,0.007888249,0.0001270766,0.6291931,0.006114143,0.001940248,0.0001861163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975378,0.0006778748,0.00002878804,0.0007478512,0.00004407413,0.0001934723,0.000002427429,0.00002281738,0.0007449276],"genre_scores_gemma":[0.9992041,0.0001502633,0.0005546558,0.00002383212,0.00000439768,0.00002455026,5.401831e-7,0.000005373523,0.00003231621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2007672,"threshold_uncertainty_score":0.9976959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296416060565433,"score_gpt":0.2741155457458619,"score_spread":0.2611513851402076,"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."}}