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Record W4214614409 · doi:10.26512/2018.01.d.31995

Compras governamentais como política de incentivo à inovação por demanda : experiência recente com Parcerias para o Desenvolvimento Produtivo – PDP na área da saúde pública

2018· dissertation· pt· W4214614409 on OpenAlexfundno aff
Jorge Rodrigo Araújo Messias

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsnot available
FundersOffice of Energy Research and DevelopmentOrganisation de Coopération et de Développement ÉconomiquesBanco Nacional de Desenvolvimento Econômico e SocialMedical Device Innovation CenterAgência Nacional de Energia ElétricaFundação Oswaldo CruzMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesMinistério da SaúdeMinisterio de Economía y CompetitividadConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da EducaçãoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorMinistério da Ciência, Tecnologia e InovaçãoFinanciadora de Estudos e ProjetosBanco do Nordeste do Brasil
KeywordsPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Experiência Recente com Parcerias para o Desenvolvimento Produtivo -PDP

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 imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0050.007
Scholarly communication0.0120.005
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.041
GPT teacher head0.310
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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