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Record W4235474242 · doi:10.1002/047147844x.gw1011

Saline Seep

2004· other· en· W4235474242 on OpenAlex
John E. Moore

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWater Encyclopedia · 2004
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicWater management and technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum seepSoil salinityIrrigationSaline waterHuman settlementGeographySalinePopulationAgricultureEnvironmental scienceHydrology (agriculture)AgronomySalinityEcologyBiologyGeologyArchaeology

Abstract

fetched live from OpenAlex

Abstract Jackson defines saline seep as an intermittent or continuous saline water discharge at or near the soil surface under dryland conditions that reduces or eliminates crop growth. Human induced salinization of land and water resources due to water table rise is as old as the history of human settlement and irrigation. Early settlements in the valleys of the Tigris and Euphrates flourished about 4000 B.C. : however, the irrigated farming of wheat resulted in salt accumulation, and in time the area was abandoned. Historic evidence from Russia, China, India, Pakistan, South American, United States, Canada, and Australia show that saline seeps are a worldwide problem. The number of saline seeps will probably increase in the future because an increase in world population will be accompanied by increases in irrigation.

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.

Full frame distilled prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.008
GPT teacher head0.179
Teacher spread0.171 · 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