Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos
Bibliographic record
Abstract
Tcnicas de agrupamento de dados usualmente assumem que o conjunto de dados de tamanho fixo e pode ser alocado na memria. Neste contexto, um desafio consiste em aplicar tcnicas de agrupamento em bases de dados de tamanho ilimitado, com dados gerados continuamente e em ambientes dinmicos. Dados gerados nessas condies originam o que se convencionou chamar de Fluxo Contnuo de Dados (FCD). Em aplicaes de FCD, operaes de acesso aos dados so restritas a apenas uma leitura ou a um pequeno nmero de acessos aos dados, com limitaes de memria e de tempo de processamento. Alm disso, a distribuio dos dados gerados por essas fontes pode ser no estacionria, ou seja, podem ocorrer mudanas ao longo do tempo, denominadas de mudanas de conceito
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".