Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Contents: Inside PAGES -- PAGES calendar -- Professor Tungsheng Liu: Obituary -- New on the PAGES Bookshelf -- National PAGES: Poland -- Special Section: Data-Model Comparison -- Introduction from the Guest Editor -- Linking data and models -- Science Highlights -- N. hemisphere atmospheric blocking in ice core accumulation records -- Reconstruction of Quaternary temperature fields and model-data comparison -- Maunder Minimum climate variability -- Little Ice Age in southern Patagonia -- 3-D 14C modeling: Last Glacial ocean circulation and 14C chronologies -- Data assimilation over the last millennium using ensemble techniques -- Facilitating proxy data interpretation of abrupt climate events using modeling -- PMIP2 climate model proxy data intercomparisons for the LGM -- Are paleo-proxy data helpful for constraining future climate change? -- Volcanism and the Little Ice Age -- PRISM Model/Data Cooperative: Mid-Pliocene data model comparisons -- How unusual was autumn 2006 in Europe? -- Risk prediction of Canadian wildfires -- Program News -- Data management in paleoclimatology -- Paleoclimate Modelling Intercomparison Project (PMIP) -- Overview of some current CLIVAR modeling activities -- Program News -- Towards an Australasian climate reconstruction for the past two millennia -- Workshop Reports -- Understanding the marine biotic response to anthropogenic CO2 emissions -- Oceanography and climate change: Past, present and future scenarios
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it