{"id":"W4232889584","doi":"10.46427/gold2020.2471","title":"Mercury Methylation and Demethylation in Paddy Soil with and Without Rice Plants","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mercury (programming language); Demethylation; Rice plant; Methylation; Environmental science; Agronomy; Environmental chemistry; DNA methylation; Chemistry; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002136244,0.0003676648,0.000397744,0.0003252091,0.0003601369,0.0003543549,0.0003948413,0.0003636814,0.001474342],"category_scores_gemma":[0.000327367,0.0002444896,0.0002706904,0.0003512978,0.0003702733,0.000294866,0.0003322712,0.0003891317,0.000244119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007157043,"about_ca_system_score_gemma":0.0008452322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02879294,"about_ca_topic_score_gemma":0.02360096,"domain_scores_codex":[0.9997655,0.00003231172,0.00001580908,0.00009319778,0.00003335248,0.00005976883],"domain_scores_gemma":[0.9997941,0.00007073971,0.00002433485,0.00002154976,0.00004565732,0.00004370234],"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":[0.005750671,0.0001035632,0.006752704,0.0001410749,0.00009680423,0.000135085,0.0001558659,0.0004950427,0.9820743,0.0001161852,0.000121226,0.004057331],"study_design_scores_gemma":[0.00020292,0.00265259,0.1131814,0.0000171363,0.0002296821,0.0003325655,0.0006648977,0.003227804,0.8765485,0.0002950158,0.002606957,0.0000405101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983863,0.0001661185,0.0002721146,0.00002228822,0.00001162421,0.000009645736,0.0003701869,0.0000137528,0.0007478543],"genre_scores_gemma":[0.9958999,0.0001436162,0.0006658931,0.00003569089,0.000005629842,0.00001667716,0.0005799945,0.000008550656,0.002644192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02879294,"threshold_uncertainty_score":0.05725068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297635027671195,"score_gpt":0.2507509364747952,"score_spread":0.2277745861980832,"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."}}