International Conference on Intelligent Textiles & Mass Customisation – ITMC 2019
Bibliographic record
Abstract
The 7th edition of the International Conference on Intelligent Textiles and Mass Customization – ITMC 2019 was held in the Marrakech, Morocco, from 13th to 15th November 2019. The Conference was organized by the Higher School of Textile and Clothing Industries (ESITH), in partnership with Ghent University in Belgium, the National School of Arts and Textile Industries (ENSAIT) in France, Shinshu University in Japan and CTT Group of Canada. The ITMC 2019 conference interdisciplinary approach is the key to maximizing the potential and development of textile materials for various applications. The purpose of the conference is to explore new ideas, effective solutions and collaborative partnerships for business growth by catalyzing the creation of a beneficial synergy between designers, manufacturers, suppliers and end-users from all sectors and making full use of this potential. The themes of the ITMC conference focus on smart textiles and mass personalization: advanced manufacturing, comfort, digital tools, design methodologies, connected composites, mass customization, e-textile and e-commerce, smart and functional textiles, education and training, funding opportunities, supply chain management and logistics, sustainable production and recycling.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".