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
The CHISP-1 initiative was conducted as a Pilot initiative, which is a collaborative effort that applies technology elements from the OGC Technical Baseline and other (non-OGC) technologies to address Sponsor requirements and scenarios.OGC Pilot initiatives are part of OGC's Interoperability Program, a global, hands-on and collaborative prototyping program designed to rapidly develop, test and deliver proven candidate standards into OGC's Standards Program, where they are formalized for public release.In OGC's Interoperability Initiatives, international teams of technology providers work together to solve specific geo-processing interoperability problems posed by the Initiative's sponsoring organizations.OGC Interoperability Initiatives include test beds, pilot projects, interoperability experiments and interoperability support services -all designed to encourage rapid development, testing, validation and adoption of OGC standards.This report summarizes the results of OGC's Climatology-Hydrology Information Sharing Pilot, Phase 1 (CHISP-1).The objective of this initiative was to develop an interdisciplinary, inter-agency and international virtual observatory system for water resources information from observations in the U.S. and Canada, building on current networks and capabilities.The CHISP-1 Initiative was designed to support these Use Case functions: Hydrologic modeling for historical and current stream flow and groundwater conditions Modeling and assessment of nutrient load into the Great Lakes Suggested additions, changes, and comments on this report are welcome and encouraged.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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