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Record W1565278472 · doi:10.20396/rdbci.v7i2.1965

O uso de patentes como fonte de informação em dissertações e teses de engenharia química: o caso da Unicamp

2010· article· pt· W1565278472 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRDBCI Revista Digital de Biblioteconomia e Ciência da Informação · 2010
Typearticle
Languagept
FieldComputer Science
TopicInformation Science and Libraries
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Acredita-se que as patentes são pouco exploradas como documentos fornecedores de informações; tanto por empresas, quanto por instituições de pesquisa, universidades, etc. Nesse contexto, o presente artigo teve a finalidade de investigar se os documentos de patentes são utilizados como fonte de informação nos trabalhos acadêmicos (dissertações de mestrado e teses de doutorado). Para isso, foram selecionados trabalhos da área da engenharia química, do período de 2000 a 2007, da Universidade Estadual de Campinas (UNICAMP). Os dados foram coletados através das patentes citadas e referenciadas nos trabalhos acadêmicos e a amostra utilizada foi de 586 trabalhos. Os resultados dessa pesquisa evidenciaram que 16,4% dos trabalhos analisados utilizaram patentes como fontes de informação e citaram esse tipo de documento. Além disso, este trabalho indicou que as patentes americanas são as mais citadas por trabalhos da UNICAMP (63,8%). Porcentagens menores ficaram para as patentes japonesas (9,0%), patentes européias (7,2%), patentes inglesas (4,0%), patentes alemãs (3,2%) e patentes brasileiras (2,7%).AbstractIt is believed that patents are not fully explored as information providers documents, both by companies and by research institutions or universities. In this context, this paper aimed to investigate whether patents are used as information sources in academic works (master's dissertations and doctoral theses). For this, works of chemical engineering from 2000 to 2007 of the State University of Campinas, Brazil (UNICAMP) were selected. Data were collected through the patents cited and referenced in academic works and the sample comprised 586 items. The results of this study have demonstrated that 16.4% of the works analyzed have used patents as information sources and have also cited this kind of document. In addition, results indicated that U.S. patents are the most cited by researchers from UNICAMP (63,8%). Lower percentages were observed for Japanese patents (9,0%), European patents (7,2%), English patents (4,0%), German patents (3,2%) and Brazilian patents (2,7%).

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0320.040
Open science0.0060.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.026
GPT teacher head0.268
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it