Interactive tools for teaching chemistryPeriodic table adds isotopes Augmented reality element blocks
Bibliographic record
Abstract
Periodic table adds isotopes What comes to mind when you think about isotopes? Radioactivity, perhaps? That’s only the tip of the iceberg. A new interactive periodic table of the elements and isotopes, launched last month by the King’s Centre for Visualization in Science (KCVS) in Edmonton, Alberta, and the International Union of Pure & Applied Chemistry, aims to show the breadth of isotopes and their applications. “This is not going to replace the periodic table of the elements. It really is a periodic table of the elements that also provides, for the first time, really detailed information about the isotopes of the elements,” says Peter Mahaffy of the KCVS. In addition to the usual periodic table information of an element’s symbol, atomic number, and atomic weight, the new interactive version includes a pie chart that indicates how many isotopes an element has and their relative abundance. The development team hopes
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.467 | 0.165 |
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".