Bibliographic record
Abstract
The International Topical Meeting on Neutron Radiography Buenos Aires, 17th – 21th October 2022 The International Topical Meeting on Neutron Radiography (ITMNR-9) was held in Buenos Aires, Argentina, during October 17-21, 2022, sponsored by the Argentine Neutron Beam Laboratory (LAHN) of the Atomic Energy Commission of Argentina (CNEA). This was the 9th meeting in the ITMNR series coordinated by the International Society for Neutron Radiography (ISNR), initiated in 1990 in Pembroke, Canada. ITMNR-9 followed the meeting held in Beijing in 2016, and it was originally planned for 2020, but it was postponed due to the COVID-19 pandemic. After evaluating the possibility of organizing a virtual meeting, the ISNR board decided to postpone it to 2022, in order to hold a completely in-person meeting. ITMNR-9 was a forum for scientists working with neutron imaging techniques to share their experiences and expertise, through technical presentations describing the latest advances on neutron imaging applications to an ever-increasing number of problems in science and technology. A total of 99 participants from 17 countries including Argentina, Australia, Bolivia, Canada, Czech Republic, France, Germany, Hungary, Italy, Japan, South Africa, South Korea, Switzerland, Thailand, The Netherlands, United Kingdom and United States. The conference program included 58 oral presentations, with 2 Keynote and 9 Invited speakers, on topical sessions dedicated to applications in Nuclear Materials, Hydrogen & Processes, Materials Science & Engineering, Electrochemistry, and Miscellaneous Applications, which included contributions in Cultural Heritage, Paleontology, Earth sciences, Boron Neutron Capture Therapy and Education. Besides this, 6 technical oral sessions were dedicated to presentations of the latest advances in Neutron Imaging and Tomography Methods, Instrument Projects, and Novel Software and Detector systems. There were also 2 sessions dedicated to 47 posters presentations. Hence, after a week of intense activity, the ITMNR-9 participants returned home with many new ideas to continue with their projects. The conference organizing committee thanks the financial support of CNEA, the International Atomic Energy Agency, the Argentine Agency for Promotion of I+D+i, and Fundación Balseiro. It also greatly thanks the companies that sponsored the meeting: Swiss Neutronics, Phoenix, Tibidabo, Mirrotron, Tritec, Amsterdam Scientific Instruments and Volume Graphics, which sent representatives who had the opportunity to present their products and interact with the participants during the breaks. These proceedings present 37 peer-reviewed contributions to the ITMNR-9 meeting, divided in 7 areas: Material Science & Engineering, Nuclear Materials, Tomography Applications, Instruments, Software & Tomography, Methods & Analysis, and Instrumentation & Detectors. Aureliano Tartaglione Florencia Malamud Sergio Soria Javier Santisteban ITMNR-9 Editorial Committee Picture of participants in the last day of the ITMNR-9 meeting. Picture of ITMNR-9 participants visit to the RA-10 multi-purpose reactor site in the outskirts of Buenos Aires, which will host the Argentine Neutron Beam Laboratory (LAHN) and the cold neutron imaging instrument ASTOR. List of Pictures, Scientific Program Committee and Organizing Committee are available in this pdf.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.604 | 0.434 |
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".