Web technologies in a collaborative platform for clinical trials
Bibliographic record
Abstract
As tecnologias de Internet mudaram o desenvolvimento de software. As mudanças afetam uma gama completa de aplicações, assim como a forma em que os usuários interagem com os computadores. No campo da saúde, a pesquisa médica demanda muito investimento, esforço e informações para a comercialização segura de um fármaco novo. O projeto WebInVivo visa fornecer suporte automatizado à pesquisa médica, alicerçado em tecnologias de Internet. Ele inclui mecanismos para o compartilhamento e a reutilização de informações de pesquisas médicas, tais como protocolos, dados de protocolos, fluxos de trabalho e metadados de fluxos de trabalho para o controle do ciclo de vida do protocolo, da modelagem à execução. Neste projeto, o conhecimento da área biomédica permeia três segmentos da sociedade brasileira: (a) pesquisa e desenvolvimento, (b) agentes de saúde e (c) a população. Este conhecimento será disponibilizado em redes sociais, para esses segmentos da sociedade brasileira.
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 | 0.064 | 0.070 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.019 | 0.014 |
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".