Bone status in patients with anorexia nervosa and relationship with biochemical findings and findings at psychiatric interview
Bibliographic record
Abstract
Dear Colleagues, On behalf of the European Society for Clinical and Economic Aspects of Osteoporosis (ESCEO) and the International Osteoporosis Foundation (IOF), it is a pleasure to welcome you to Seville, and to the World congress on osteoporosis, osteoarthritis and musculoskeletal disease (WCO-IOF-ESCEO).The Congress' scientific programme has been developed by a team consisting of members of the Committee of Scientific Advisors of the IOF and the Scientific Advisory Board of ESCEO.We would like to thank the Scientific Chairs, Professors Cyrus Cooper and René Rizzoli, for taking the lead in setting up an exciting and comprehensive programme that brings together the world's best in the bone field, and takes advantage of the synergies and combined expertise of our two organisations.We are meeting in Seville with common aims -to gather new knowledge, skills and tools in the prevention and treatment of osteoporosis, osteoarthritis and musculoskeletal disease.The enlarging focus of this year's meeting covers major disabling conditions in elderly people.It is our hope that this Congress will move the field one step forward on all fronts; from new understanding of bone, joint and muscle metabolism and pathology, to new strategies and options in prevention, diagnosis and treatment.The core scientific programme consists of 8 invited lectures by renowned speakers and 57 oral presentations selected from the very best of hundreds of submitted abstracts.In addition, participants can choose among 14 different Meet-the-Expert sessions and 11 special sessions and symposia on issues of clinical importance.We also encourage you to attend many of the scheduled poster sessions, 6 industry sponsored satellite symposia and to visit the large commercial exhibition presented by the leading companies in the bone field.The city of Seville offers a most convenient and pleasant setting for international congresses.We hope that you will also take the opportunity to explore the many attractions in Seville, or simply savour the 'buena vida' in this wonderful city!Thank you for your participation.We will do our best to ensure that this meeting is a memorable, enriching experience for all.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".