{"id":"W3026447126","doi":"10.1130/g47295.1","title":"Toxic mercury pulses into late Permian terrestrial and marine environments","year":2020,"lang":"en","type":"article","venue":"Geology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Volcano; Extinction event; Mercury (programming language); Terrestrial ecosystem; Permian; Large igneous province; Extinction (optical mineralogy); Geology; Ecosystem; Environmental science; Atmosphere (unit); Earth science; Atmospheric sciences; Paleontology; Ecology; Meteorology; Biology; Geography","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":[0.00005459019,0.00009962575,0.0001363027,0.00001126173,0.00009814926,0.000007675845,0.00008318013,0.00005053029,0.003548144],"category_scores_gemma":[0.00005547125,0.00008765315,0.00002143917,0.0000529572,0.0002944218,0.00008757061,0.000380608,0.00007670323,0.0007932642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001923345,"about_ca_system_score_gemma":0.000003015498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359355,"about_ca_topic_score_gemma":0.0001347113,"domain_scores_codex":[0.9993305,0.00004403669,0.0001270626,0.0002163498,0.00009249916,0.000189607],"domain_scores_gemma":[0.9997162,0.00002734143,0.00003788342,0.00008444178,3.995364e-7,0.0001337277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000886674,0.00003753035,0.8610529,0.000006121312,0.00004427917,0.00003355341,0.003858326,0.0000667351,0.04017271,0.0000525412,0.006345809,0.08824085],"study_design_scores_gemma":[0.0009235379,0.000278462,0.7172709,0.000001867181,0.00002268731,0.00001650751,0.0002175845,0.000328359,0.002260435,0.00129185,0.2771383,0.0002494785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878665,0.00005799355,0.00005171102,0.005797887,0.0001081033,0.00009521672,0.000001413001,0.00001891578,0.006002283],"genre_scores_gemma":[0.9966187,0.0002010522,0.0002436664,0.002067483,0.00008101475,0.000007804951,0.0000100683,0.000006060233,0.0007640859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707925,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682521879412196,"score_gpt":0.240675672349625,"score_spread":0.223850453555503,"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."}}