XVth International Conference on Electrical Bio-Impedance and the XIVth Conference on Electrical Impedance Tomography (Heilbad Heiligenstadt, Germany, 22–25 April 2013)
Bibliographic record
Abstract
This issue of Physiological Measurement follows the successful XVth International Conference on Electrical Bio-Impedance (ICEBI) in conjunction with the XIVth International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT) held at Heilbad Heiligenstadt, Germany. The conference was hosted at the Institut fur Bioprozess- und Analysenmestechnik in Heilbad Heiligenstadt by Uwe Pliquett and Dieter Beckmann with co-organiser Gunter Hahn from the University of Gottingen. The conference provided a platform for investigators in all aspects of bio-impedance and EIT to engage in common areas of interest whilst also allowing an opportunity for the community to broaden its outlook in the areas of clinical applications and new technologies associated with both areas of research. It focused on instrumentation, modeling and data processing but also new applications especially for clinical purpose. This upholds the tradition of successful conferences on biomedical applications of bio-impedance and electrical impedance tomography, as was the case with the 13th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT 2012). The conference was held in China and hosted at Tianjin University. It was co-organized by Professor Xuemin Wang from Tianjin University, Professor Jie Zhang from the University of Kentucky, and Professor Eung Je Woo of Kyung Hee University. The most recent conference is the 14th International Conference on Biomedical Applications of Electrical impedance Tomography (EIT) that was held in Gananoque, Canada in April 2014. This conference will be followed by a focus issue in Physiological Measurement that will be published in 2015. This issue contains papers stemming from discussion and feedback during the 2013 conference in these research areas. It was also an opportunity for new researchers to join the community and propose recent innovations. There were 247 accepted submissions (actually participating: 141 oral and 85 poster) presented at the conference, and all authors were invited to prepare new peer-reviewed papers for inclusion in this issue of Physiological Measurement . The manuscripts were put through a process of careful review before selection. A total of 20 were accepted covering an important range of topics. Both fields of bio-impedance and EIT continue to provide researchers with new challenges, and attract more researchers into these areas as evident by the number of attendees (258) to this conference. The high quality of the research papers in this special issue is clear evidence of the significant advances in the field.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.117 | 0.065 |
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".