{"id":"W2965074546","doi":"10.1130/abs/2019am-332955","title":"MERCURY AS A PROXY FOR VOLCANIC EMISSIONS IN THE GEOLOGIC RECORD","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Mercury (programming language); Volcano; Proxy (statistics); Geology; Earth science; Environmental science; Geochemistry; 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":[0.000404646,0.0001010357,0.0001390797,0.001494808,0.0002433604,0.0005741469,0.0002110714,0.0002298041,0.001354788],"category_scores_gemma":[0.00137456,0.00009406487,0.0001354656,0.003648577,0.0001867922,0.0004058387,0.000324259,0.0003214178,0.0002598089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006766037,"about_ca_system_score_gemma":0.0005477841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03912427,"about_ca_topic_score_gemma":0.0833371,"domain_scores_codex":[0.9998581,0.00002892422,0.00001420591,0.0000461753,0.00003720143,0.00001540796],"domain_scores_gemma":[0.9992955,0.000194603,0.0002340051,0.00006602595,0.0001491182,0.00006079696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000965748,0.00001909902,0.9790462,0.00008172095,0.0001721149,0.00005287565,0.0002142283,0.0005285775,0.003860537,0.0006492379,0.001674511,0.01360432],"study_design_scores_gemma":[0.000002597678,0.00001337618,0.9953603,0.00001117694,0.00003806194,0.00002718152,0.0001043973,0.0003180059,0.001106152,0.0001203884,0.00289522,0.000003166755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755563,0.00186728,0.0006971862,0.0006330638,0.00006150361,0.000005092907,0.01562091,0.00006054604,0.005498257],"genre_scores_gemma":[0.9934342,0.000912205,0.0007248574,0.00004489474,0.00006089163,0.000004373507,0.003319997,0.00002354402,0.001474968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03912427,"threshold_uncertainty_score":0.07779312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560673369876045,"score_gpt":0.2419773570730448,"score_spread":0.2163706233742843,"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."}}