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Dinâmica das relações entre Ciência e Tecnologia: estudo Bibliométrico e Cientométrico de múltiplos indicadores de artigos e patentes em biodiesel
João de Melo Maricato
Bibliographic record
Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
FundersIndian Institute Of Petroleum, Council of Scientific and Industrial Research, IndiaHindustan PetroleumInstitute of Chemical and Engineering SciencesAgriculture and Agri-Food CanadaUniversity of Massachusetts AmherstUniversity of Hawai'i at MānoaUniversity of California, DavisUniversität GreifswaldUniversidade Federal da ParaíbaUniverzita PardubiceUniversidade Estadual de MaringáUniversity of MysoreTezpur UniversityUniversitat Autònoma de BarcelonaUniversity at BuffaloSlovenská technická univerzita v BratislaveEötvös Loránd TudományegyetemUniversität StuttgartUniversitat de LleidaUniversidad de Puerto RicoUniversidad de CórdobaUniversidade Federal do ParanáTokyo University of AgricultureYanbian UniversityNational Cheng Kung UniversityUniversidad de Castilla-La ManchaUniversity of the PhilippinesBeijing University of Chemical TechnologyBharathiar UniversityUniversidad de JaénUniversité Claude Bernard Lyon 1University of TsukubaAgência Nacional do Petróleo, Gás Natural e BiocombustíveisNational Taiwan UniversityUniversidade Estadual de CampinasRuhr-Universität BochumUniversità di BolognaHokkaido UniversityUniversity of PretoriaUniversità Politecnica delle MarcheQueen's UniversityUniversidade de São PauloCollege of Engineering, Michigan State UniversityUniversidade Federal de AlagoasDanmarks Tekniske UniversitetZhejiang UniversityUniversitat de BarcelonaUniversity of Louisiana at LafayetteAston UniversityCentre National de la Recherche ScientifiqueSveriges LantbruksuniversitetKing Mongkut's University of Technology ThonburiAkademie Věd České RepublikyUniversity of ConnecticutCentral Washington UniversityShizuoka UniversityUniversity of LimerickUniversity of MadrasIstituto Superiore di SanitàCentro de Investigaciones Energéticas, Medioambientales y TecnológicasUniversidad Politécnica de MadridGeorg-August-Universität GöttingenNational Taiwan Ocean UniversityAkzoNobelChalmers Tekniska HögskolaUniversity of South AustraliaBall State UniversityUlster UniversityChina University of Petroleum, BeijingSyddansk UniversitetTechnische Universität BraunschweigUniversity of AberdeenEast China University of Science and TechnologyQueen's University BelfastYangtze UniversityCranfield UniversityLoughborough UniversityAnna UniversityUniversidade Católica de BrasíliaJawaharlal Nehru UniversityDalhousie UniversityUniversity of BirminghamUniversity College LondonWashington State UniversityTechnische Universität DarmstadtUniversity of LeicesterUniversidade do Estado do Rio de JaneiroUniversity of CambridgeYork UniversityRothamsted ResearchUniversity of TorontoImperial College LondonAnadolu ÜniversitesiUniversitat Rovira i VirgiliTechnische Universität KaiserslauternUniversità degli Studi di Napoli Federico IIUniversity of AlbertaAgenzia Nazionale per le Nuove Tecnologie, l'Energia e lo Sviluppo Economico SostenibileKarl-Franzens-Universität GrazChonbuk National UniversityAcademia RomânaVirginia Polytechnic Institute and State UniversityWestern Michigan UniversitySheffield Hallam UniversityUniversitat de GironaQueen Mary University of LondonStaffordshire UniversityUniversity of HuddersfieldVrije Universiteit BrusselUniversität KasselNational Institute of Advanced Industrial Science and TechnologyUniversität HohenheimWest Virginia UniversitySouth China University of TechnologyUniversity of PortsmouthUniversità degli Studi di FirenzeColorado School of MinesUniversity of AkronUniversity of JinanUniversidade de Santiago de CompostelaColorado State UniversityDe La Salle UniversityShellAuburn UniversityNewcastle UniversityMichigan State UniversityUniversity of LeedsUniversity of DaytonTulane UniversityNational Institute of Technology CalicutUniversidade Federal de Santa CatarinaUniversité LavalUniversity of Shanghai for Science and TechnologyKanagawa UniversityUniversity of the West of EnglandAcademia SinicaCarnegie Mellon UniversityTokyo University of Agriculture and TechnologyCouncil of Scientific and Industrial Research, IndiaIndian Institute of ScienceUniversità degli Studi di CagliariCargillOffice of Naval ResearchUniversità di CagliariUniversity of BristolUniversidade Federal do Rio de JaneiroUniversity of NottinghamUniversity of Hawai'iUniversity of North Carolina at Chapel HillPolitecnico di TorinoUniversity of MinnesotaU.S. Naval Research LaboratoryUniversiteit AntwerpenUniversità di PisaEniJohns Hopkins UniversityClemson UniversityYale UniversityDalian University of TechnologyCentral Research Institute for Dryland AgricultureUniversity of Hull
KeywordsPolitical sciencePhysics
Abstract
0,677), alm de maior produtividade entre as coativas; diante da relativamente baixa dinmica colaborativa, especialmente, na
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 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.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.036 | 0.021 |
| Insufficient payload (model declined to judge) | 0.002 | 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.
Opus teacher head0.012
GPT teacher head0.286
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation status
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; both teacher heads agree on what is shown here.
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
Citations10
Published2010
Admission routes1
Has abstractyes