Model of seawater composition for the Phanerozoic
Bibliographic record
Abstract
Research Article| November 01, 2005 Model of seawater composition for the Phanerozoic Robert V. Demicco; Robert V. Demicco 1 Department of Geological Sciences and Environmental Studies, Binghamton University, Binghamton, New York 13902-6000, USA Search for other works by this author on: GSW Google Scholar Tim K. Lowenstein; Tim K. Lowenstein 1 Department of Geological Sciences and Environmental Studies, Binghamton University, Binghamton, New York 13902-6000, USA Search for other works by this author on: GSW Google Scholar Lawrence A. Hardie; Lawrence A. Hardie 2Earth and Planetary Sciences Department, Johns Hopkins University, Baltimore, Maryland 21218, USA Search for other works by this author on: GSW Google Scholar Ronald J. Spencer Ronald J. Spencer 3Department of Geology and Geophysics, University of Calgary, Calgary, Alberta T2N 1N4, Canada Search for other works by this author on: GSW Google Scholar Geology (2005) 33 (11): 877–880. https://doi.org/10.1130/G21945.1 Article history received: 08 Jun 2005 rev-recd: 29 Jun 2005 accepted: 06 Jul 2005 first online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Robert V. Demicco, Tim K. Lowenstein, Lawrence A. Hardie, Ronald J. Spencer; Model of seawater composition for the Phanerozoic. Geology 2005;; 33 (11): 877–880. doi: https://doi.org/10.1130/G21945.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract We present an inverse model of Phanerozoic seawater composition calibrated against updated paleoseawater compositions from fluid inclusions in marine halites. The model considers step-wise alteration of seawater composition via: (1) variable input of river water, (2) variable rates of alteration of seawater through reactions at mid-ocean ridges, and (3) variable rates of alteration of seawater through reactions on ridge flanks and across the ocean floor in general. The model achieves agreement with paleoseawater fluid inclusion data for Na+, Ca2+, SO42−, and K+, particularly when variable runoff is considered. Variable rates of basalt- seawater interactions at both ridges and ridge flanks are required to understand the evolution of seawater, particularly the observed, near-constant concentration of K+ through time. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".