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Record W7004862954

Országismertető – Marokkó és Nyugat-Szahara

2017· book· hu· W7004862954 on OpenAlexfundno aff

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2017
Typebook
Languagehu
FieldEarth and Planetary Sciences
TopicGeological Formations and Processes Exploration
Canadian institutionsnot available
FundersStanford Bio-XGraduate School, University of MarylandCollege of Pharmacy, University of MichiganOffice of Public AffairsEconomic Research ForumUniversité Cadi AyyadEötvös Loránd TudományegyetemHenan Institute of Science and TechnologyQueensland GovernmentKing Saud UniversityU.S. Department of the InteriorUniversity of SussexOffice of the Dean for Research, Princeton UniversityEuropean CommissionUniversity of CalgaryUniversity of CambridgeUniversitat Pompeu FabraU.S.-Middle East Partnership InitiativeRainforest AllianceU.S. Naval War CollegeUniversity of MarylandFrances McClelland Institute for Children, Youth, and FamiliesUniversity of OxfordNorth Carolina State UniversityCollege of Veterinary Medicine, Cornell UniversityUniversity of MichiganUniversity of ChicagoU.S. Department of StateU.S. Geological SurveyGeological Society of LondonHarvard UniversityPrinceton UniversityYale UniversityUniversity of PennsylvaniaInternational Center for Agricultural Research in the Dry AreasPantheraWorld Bank Group
KeywordsLimit (mathematics)Product (mathematics)Identification (biology)Process (computing)
DOInot available

Abstract

fetched live from OpenAlex

3Amennyiben Iránt is a régióhoz tartozó államként értelmezzük, akkor a keleti határt a Keletiráni-peremhegyvidék jelöli ki. 4

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0890.034

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 head0.033
GPT teacher head0.232
Teacher spread0.200 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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