PROSPECÇÃO TECNOLÓGICA: BARRA DE CEREAIS FUNCIONAIS E HIPOLIPEMIANTES
Bibliographic record
Abstract
Na ultima decada, a industria de alimentos tem demonstrado interesse ja documentado, na associacao entre barra de cereais e alimentos saudaveis. O mercado consumidor vem apresentando elevado interesse quanto ao produto, chamado “barra de cereal”. Considerando este crescimento e relevância da barra na industria e para consumidor final e que se objetivou, por meio deste trabalho, realizar um mapeamento das pesquisas ja desenvolvidas, analisando as potencialidades e a evolucao das competencias tecnologicas traduzidas atraves dos depositos de patentes no que se refere a Barra de Cereais. A prospeccao foi realizada no Banco Europeu de Patentes, no Banco da Organizacao Mundial de Propriedade Intelectual, no Banco Americano de Marcas e Patentes e no Banco de dados do Instituto Nacional de Propriedade Industrial do Brasil. A classificacao internacional mais abundante nessa prospeccao foi a Subsecao A23 e principalmente na Subclasse A23L, seguido de A61K. Dentre os maiores depositantes estao Estados Unidos, Canada e Republica da Coreia. Os dados demonstram uma area promissora, com crescimento relevante de patentes depositadas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".