Bibliographic record
Abstract
Watch Croatia vs Canada LIVE STREAM FREE Full Match FIFA World Cup 27 November 2022 At Home\n\n \n\n\n\tCLICK HERE TO WATCH LIVE FREE\n\n\n \n\nHere's our storylines, how you can watch the match and more:\n\nHow to watch and odds\n\n\n\tDate: Sunday, Nov. 27 | Time: 11 a.m. ET\n\tLocation: Khalifa International Stadium -- Al Rayyan, Qatar\n\tTV: FS1 | Live stream: fuboTV (Try for free)\n\tOdds: Croatia +114; Draw +230; Canada +245 (via Caesars Sportsbook) \n\n\nThis work presents a lexical database encompassing most natural languages, with cognate annotation and phonological alignment, along with per-family and global phylogenetic resources. The lexical data is organized in a single and easy-to-use tabular file, and all resources are built following best practices and state-of-the-art algorithms for historical linguistics. It was developed to provide a source for prototyping studies, developing new methods, as well as bootstrapping analyses, and to allow for the community to engage in research in computational historical linguistics. The data is expected to be updated regularly, with additions and improvements. All resources are freely available for download for all interested researchers.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.115 | 0.005 |
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; both teacher heads agree on what is shown here.
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".