Bibliographic record
Abstract
All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: Iconf submission system • Number of submissions received: 24 papers • Number of submissions sent for review: 24 papers • Number of submissions accepted: 13 papers • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 54.17% • Average number of reviews per paper: 2 papers • Total number of reviewers involved: 12 reviewers • Any additional info on review process: 1. Preliminary Review When we received authors’ paper(abstract and full paper), we will submit the paper to auditing department for checking, the auditing department will review the content, format and grammers. 2. The full papers passed the first review will be eviewed again by conference technical committees from the following aspects: Originality, Innovation, Technical Soundness, Applicability, Clarity of presentation and Relevance. 3. Only the paper passed the first review and the second review, it can be published. • Contact person for queries: Prof. Gordon Huang International Society for Environmental Information Sciences, Canada guohe.huang@outlook.com
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.
How this classification was reachedexpand
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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.026 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".