{"id":"W2003508809","doi":"10.1126/science.1235591","title":"Cracking the Mercury Methylation Code","year":2013,"lang":"en","type":"letter","venue":"Science","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mercury (programming language); Cracking; Methylation; Code (set theory); Computer science; Chemistry; Biology; Programming language; Genetics; DNA","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009057207,0.0001850055,0.0001489413,0.00005797878,0.0008629008,0.0002114892,0.0009153041,0.0001218336,0.00326929],"category_scores_gemma":[0.0002462393,0.0001113601,0.00005678,0.0006814383,0.002022884,0.000616903,0.0004024981,0.0006179366,0.003964487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781171,"about_ca_system_score_gemma":0.00004560733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753487,"about_ca_topic_score_gemma":0.00001939393,"domain_scores_codex":[0.9976839,0.0000717095,0.0002028634,0.0004391976,0.001123724,0.0004786348],"domain_scores_gemma":[0.9990843,0.0001650137,0.0001767702,0.000485254,0.00003159255,0.00005708781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[2.165075e-7,0.00000211337,0.0006221993,0.000003567377,0.000003343277,0.000002589287,0.0005959212,0.00002443002,0.003673469,0.00001398772,0.9889101,0.006147998],"study_design_scores_gemma":[0.00002989965,0.00001035289,0.01133552,0.00001212013,0.00001436999,0.000006044827,0.00008065333,0.0001905001,0.001240606,0.001110542,0.9857843,0.0001850904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01726623,0.0002525468,0.0004603587,0.9134789,0.001480784,0.0005915194,0.00001709003,0.00009242517,0.06636016],"genre_scores_gemma":[0.06485911,0.00009857895,0.0006870112,0.9148836,0.001239268,0.00008610666,0.00001626537,0.00003037232,0.01809975],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04826041,"threshold_uncertainty_score":0.9976419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221422452709018,"score_gpt":0.2875098664114718,"score_spread":0.2552956418843816,"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."}}