Bibliographic record
Abstract
Abstract Carbon dioxide (CO2) and hydrocarbons (such as CH4) gas mixtures generate plasmas with much higher enthalpy and thermal conductivity, leading to higher spray process efficiency and improved heat transfer to the sprayed powder. We have employed a DC plasma torch operated with CO2+CH4 gas mixture, which has been developed at the Centre for Advanced Coating Technologies (CACT) at the University of Toronto, to deposit various coatings. This study was focused on the effect of this plasma gas mixture on the in-flight particle parameters during plasma spraying of Yttria (Y2O3). The results were compared with a similar coating applied by the SG-100 torch (Praxair) with Ar+He gas mixture. The particulate plume scans show that with the CACT torch, all particles in measured volume were overheated at a distance of 120 mm. Cross-sections through the sprayed coatings were polished and examined under a scanning electron microscope. The dielectric properties of the two coatings were also compared with each other.
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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 | 0.000 | 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) | 0.000 | 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 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".