Bibliographic record
Abstract
The Seventeenth Heat Transfer Photogallery was sponsored by the K-22 Heat Transfer Visualization Committee for both the 2013 Summer Heat Transfer Conference (SHTC) held in Minneapolis, Minnesota on Jul. 14–19, 2013, and the 2013 International Mechanical Engineering Congress and Exhibition (IMECE) held in San Diego, California on Nov. 15–21, 2013. Both Photogallery sessions presented a total of 43 entries, and the peer-reviewed evaluation conducted by the participants has identified the 18 final entries for publication in this ASME Journal of Heat Transfer August issue of 2014.The purpose of publishing these entries is to draw attention to the innovative features of visualization techniques and aesthetic qualities of thermal processes. To focus on visualization images and schematics for each entry, the text is kept to a minimum and further details should be found directly from the authors. Our wish is that the journal readers enjoy viewing these collections, acquire knowledge of the state-of-the-art features, and also promote their participation in the 2014-IMECE Photogallery (IMECE Topic 10–49) to be held in Montreal, Canada on Nov. 14–20, 2014 [http://www.asmeconferences.org/congress2014/].The Call for Photographs for 2014-IMECE is also announced in this issue of Journal of Heat Transfer.
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 | 0.000 | 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".