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Record W2951638134 · doi:10.32014/2019.2518-170x.66

THE LAWS OF FORMATION OF GROUNDWATER RESOURCES ON THE TERRITORY OF KAZAKHSTAN AT THE EXPENSE OF SURFACE AND GROUNDWATER

2019· article· en· W2951638134 on OpenAlexaff
Murat Abikenovich Mukhamedjanov, Lyazzat Manatovna Kazanbaeva, Jay Sagin, Asel Azatkalievna Nurgaziyeva

Bibliographic record

VenueNEWS of National Academy of Sciences of the Republic of Kazakhstan · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsGroundwaterCitationIndex (typography)Science Citation IndexInclusion (mineral)Quality (philosophy)Groundwater resourcesPolitical scienceEarth scienceEngineeringLawGeologySociologySocial scienceComputer scienceGeotechnical engineeringWorld Wide WebAquiferPhilosophy

Abstract

fetched live from OpenAlex

а с р е д а к т о р ы э. ғ. д., профессор, ҚР ҰҒА академигі И.К.Бейсембетов Бас редакторының орынбасары Жолтаев Г.Ж.проф., геол.-мин.ғ.

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)0.003
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.044
GPT teacher head0.304
Teacher spread0.260 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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