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
A thickener is a continuous gravity separation device that reduces or removes suspended solid particles from liquor. Clarified liquor is removed from the top and thickened solids are discharged from the bottom. Thickeners are an essential part of plant water management. A conductivity-based sensor has been developed for use in a thickener and has been successfully tested in industrial applications. Data from at Falconbridge's Kidd Creek operations, Inco's Thompson and, in particular, Inco's Sudbury operations are discussed. The probe designed for this work is a multi-cell arrangement that exploits the difference in conductivity between the liquor and the slurry. Conductivity measurements are taken as a function of depth to provide a profile of the solids content of the thickener. Conductivity measurements can be converted to solids concentration (percent solids) using a model developed by Maxwell. The resulting solids concentration versus depth profile was used to interrogate the behaviour of the solids and to develop thickener control signals. (Abstract shortened by UMI.)
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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