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Record W1176608300 · doi:10.1007/978-3-319-21470-2_11

GIS-Based Multi-criteria Decision Analysis for the “Highway in the Sky”

2015· book-chapter· en· W1176608300 on OpenAlexfundno aff
Maria Rosaria Guarini, Marco Locurcio, Fabrizio Battisti

Bibliographic record

VenueLecture notes in computer science · 2015
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicLand Use and Ecosystem Services
Canadian institutionsnot available
FundersArmy Research LaboratoryNational Physical LaboratoryUniversitat Politècnica de ValènciaFundação para a Ciência e a TecnologiaUniversity of California, DavisNational Supercomputing Centre SingaporeCentro Svizzero di Calcolo ScientificoUniversidad Autónoma de SinaloaLovely Professional UniversitySzegedi TudományegyetemUniversitas Teknologi YogyakartaUniversitat Autònoma de BarcelonaUniversità degli Studi di PerugiaUniversidade Federal do Rio de JaneiroUniversidade Federal do Rio Grande do NorteNanjing University of Information Science and TechnologyUniversidad de ValladolidUniversità di PisaUniversidade do PortoUniversità degli Studi di Milano-BicoccaYildiz Teknik ÜniversitesiUniversity of DelhiUniversidad del AtlánticoUniversity of TsukubaUniversidad de MálagaUniversität ZürichUniversidad de CantabriaUniversité Pierre et Marie CurieUniversidad de AlcaláUniversità degli Studi dell'AquilaPolitechnika WrocławskaUniversidade Nova de LisboaUniversity College DublinInstitut National de Recherche en Sciences et Technologies pour l'Environnement et l'AgricultureUniversidade de CoimbraUniversidade de LisboaUniversität HamburgUniwersytet ŁódzkiUniversidade Tecnológica Federal do ParanáUniversità degli Studi di ParmaUniversidade de São PauloIndian Statistical InstituteUniversiti Teknologi MalaysiaJeju National UniversityInternational Islamic University MalaysiaUniversitat de BarcelonaCentre National de la Recherche ScientifiqueNanjing UniversityUniversidad Politécnica de MadridKuwait UniversitySilesian University of TechnologyHannam UniversityWaseda UniversityTürkiye Bilimsel ve Teknolojik Araştırma KurumuAmerican University in CairoSaint Petersburg State UniversityUniversità degli Studi della BasilicataMonash UniversityUniversitat Rovira i VirgiliKU LeuvenAkademie Věd České RepublikyCatholic University of DaeguQassim UniversityUniversidade do Estado do Rio de JaneiroWonkwang UniversityUniversitat de GironaKorea Polytechnic UniversityUniversité du LuxembourgHong Kong Baptist UniversityKunsan National UniversityUniversity of TwenteUniversiteit van AmsterdamÉcole Polytechnique Fédérale de LausanneCentro Universitario de la Defensa de ZaragozaUniversità degli Studi Mediterranea di Reggio CalabriaCovenant UniversityAmirkabir University of TechnologyUniversity of WindsorUniversitat Politècnica de CatalunyaIndian Institute of Technology KanpurUniversità degli Studi di SalernoLondon South Bank UniversityLa Trobe UniversityUniversita degli Studi di Bari Aldo MoroEuropean CommissionWageningen University and ResearchUniversity of LeedsUniversidad de OrienteUniversidade Federal de PernambucoLiverpool John Moores UniversityUniversità degli Studi di MessinaUniversität SiegenUniversidade Federal do ABCUniversità degli Studi di SassariUniversidad de CuencaCurtin University of TechnologyFlorida Atlantic UniversityDeakin UniversityEge ÜniversitesiCERNUniversidade do MinhoUniversità degli Studi di CagliariIslamic Azad UniversityEast China Normal UniversityQazvin Islamic Azad UniversityIran University of Science and TechnologyAgenzia Nazionale per le Nuove Tecnologie, l'Energia e lo Sviluppo Economico SostenibileUniversity of BradfordUniversity of OklahomaYonsei UniversityUniversity of ConnecticutPennsylvania State UniversityZápadočeská Univerzita v PlzniUniversité LavalUniversity of MacedoniaUniversidade de AveiroSungkyunkwan UniversityUniversità degli Studi di Napoli Federico IIUniversidade Estadual de CampinasUniversiti Tun Hussein Onn MalaysiaUniversity of Canterbury
KeywordsMinor (academic)Computer scienceTRIPS architectureGeographic information systemMultiple-criteria decision analysisOperations researchTransport engineeringPosition (finance)Decision support systemGeographyData miningRemote sensingEngineeringBusiness

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.034
GPT teacher head0.278
Teacher spread0.244 · 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 designSimulation or modeling
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

Citations7
Published2015
Admission routes1
Has abstractno

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