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Record W2910036964 · doi:10.4095/212695

A comparison of seven methods for analysis of carbon in soils

2001· report· en· W2910036964 on OpenAlexaff
Isabelle Girard, R A Klassen

Bibliographic record

Venuenot available
Typereport
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsSoil waterCarbon fibersEnvironmental scienceEnvironmental chemistrySoil scienceMathematicsChemistryAlgorithm

Abstract

fetched live from OpenAlex

Comparison of seven analytical protocols used for carbon analysis in soils indicates differences that relate to mineralogy, carbon content, and analytical equipment design and operation. For routine analyses of surficial geological materials containing either inorganic or organic carbon forms, or both, an appropriate method is based on thermal decomposition and oxidation of the sample with carbon released as carbon dioxide analyzed by infrared spectrometry using a Leco CR-412 instrument. The procedure requires analyses of two sample splits. One split is subjected to high-temperature (1350° C) combustion to determine its total carbon content. The second split is ini- tially oxidized at low temperature (500° C) to remove volatile and readily oxidized carbon forms (organic), after which the remaining carbon forms (inorganic) are then determined through high-temperature combustion and carbon dioxide analyses.

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)0.014
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0110.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.122
GPT teacher head0.421
Teacher spread0.299 · 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 designBench or experimental
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

Citations4
Published2001
Admission routes1
Has abstractyes

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