Bibliographic record
Abstract
On 16 and 17 September 2013 the National Service of Industrial Apprenticeship - SENAI promoted in Curitiba-PR the First International Seminar on Industrial Innovation in Electrochemistry and attended more than 150 participants from Universities, Industries and government agencies. The motivation of this seminar was to disseminate and consolidate the culture of innovation in Brazilian industry and at the same time raise awareness for industries that innovation to be a constant practice in its different segments, and the electrochemistry to be an inductor in this process, due to its transversality in several areas. During the seminar invited lectures of companies showing the cases of projects undertaken with universities and researchers from national and international universities that conduct applied research in electrochemistry were presented. The invited speakers were from different countries like Department of Applied Electrochemistry of the Fraunhofer Institute from Germany, Center for Electrochemistry and Environmental Technologies (CNETE) from Canadian, University of Manchester from United Kingdom, Institute Acreo from Swedish and Massachusetts Institute of Technology from EUA. From Brazil the invited speakers were from University (UFAL and UFSCar) and different companies like, Volvo, Braskem, AkerSolutions, Itaipu, Rodhia, Weg Tintas, Tecno Plating, Copel, Neoortho, Klabin and Paranaense Metrics Network. Thus, the seminar aimed to promote interaction and dissemination of industry / research and the benefits generated by their processes and products from the point of view related to the theme Electrochemistry and its derivations in the area of materials and process innovation. The dynamics of the event was coordinated to ensure a stimulating discussion, inspiring and innovative environment while strengthening the relationship of industry and applied research groups so that they can act coordinately in the processes of innovation and technology, contributing to the growth of national industry. During the event also took place the inauguration of the first SENAI Institute of Innovation, the SENAI Institute of Innovation in Electrochemistry, located in Curitiba-Pr.The editors would like to thank all staff, participants and sponsors Fundação Araucária and CNPq for their support and a special thanks to Filipe Miguel Cassapo and Marco Antonio Areias Secco for the great support dedicated to the event.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.711 | 0.620 |
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".