{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913335,0.0002035789,0.0003672403,0.00001269413,0.0001971513,0.00003303909,0.0003615121,0.000167288,0.0009016175],"category_scores_gemma":[0.0001027155,0.00009535038,0.0001906772,0.0004048272,0.0004733579,0.0001198395,0.0000283002,0.0003105446,0.0001404088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005604601,"about_ca_system_score_gemma":0.0000386994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004269872,"about_ca_topic_score_gemma":0.0004092371,"domain_scores_codex":[0.998286,0.00008188793,0.0003751151,0.0004022745,0.0002975736,0.0005571573],"domain_scores_gemma":[0.9988456,0.0005254366,0.0002664151,0.0001917828,0.0000832431,0.00008748812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002283857,0.0003006792,0.792681,0.00005446128,0.00005392495,0.000005116767,0.0009300563,0.003148341,0.00001258647,0.00003996737,0.001080039,0.2014655],"study_design_scores_gemma":[0.0006760437,0.007336445,0.8760217,0.00003985849,0.00003049285,0.00001349297,0.007824489,0.004861075,0.000008597499,0.004040245,0.0988484,0.0002991677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856676,0.0003100464,0.0001959443,0.007919518,0.00006613191,0.001683428,0.000007005169,0.00005690132,0.004093377],"genre_scores_gemma":[0.9866071,0.0002809736,0.01082258,0.001899568,0.00004486781,0.00006925117,0.0001181697,0.000002995346,0.0001545022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011663,"threshold_uncertainty_score":0.9872079,"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."}}