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Record W2110003375 · doi:10.1144/1467-7873/03-045

Vertical ionic migration: mechanisms, soil anomalies, and sampling depth for mineral exploration

2005· article· en· W2110003375 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeochemistry Exploration Environment Analysis · 2005
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsSGS (Canada)
Fundersnot available
KeywordsMineral explorationGeologyGeochemistryMineralSampling (signal processing)MineralogyMining engineeringGeomorphologySoil scienceChemistryComputer science

Abstract

fetched live from OpenAlex

Field studies, in particular mobile metal ion analysis of soil samples taken over mineralization, suggest that subtle geochemical anomalies exist above mineral deposits which are demonstrably covered by allochthonous material such as glacial till. Empirical observations suggest that the anomalies are preferentially located 10 to 25 cm below the soil interface, comprise elements contained in ore, and are located directly above the mineralizing source. Laboratory experiments suggest that capillary rise and evaporation play an important part in determining the position of emplacement of ions in the soil profile: in nature, root-zone transpiration also plays a part in solute deposition/adsorption within the evapo-transpiration zone. The effects of downward-percolating water after rainfall events, as well as the upward force of capillary rise, are considered in a model which explains many of the features of ion emplacement in soils. Laboratory modelling also suggests that convection, perhaps due to the heat produced by oxidation of the deposit, may in some cases provide a mechanism for rapid ascension of ions beneath the water table.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.229
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