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Record W6928868525 · doi:10.4224/40001877

NRC Twin Otter operations in the Soil Moisture-Atmosphere Coupling Experiment (SMACEX)

2002· report· en· W6928868525 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2002
Typereport
Languageen
Field
Topic
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsCoupling (piping)CalibrationHydrology (agriculture)Soil structure interaction

Abstract

fetched live from OpenAlex

This report describes the operation of the NRC Twin Otter atmospheric research aircraft in the 2002 Soil Moisture-Atmosphere Coupling Experiment (SMACEX) conducted near Ames, Iowa, over the period June 15 to July 6, 2002. The aircraft was instrumented to measure the vertical fluxes of sensible and latent heat, momentum, CO2 and ozone, along with supporting meteorological and radiometric data. Sixteen project flights were flown, in which a total of 423 flux runs were conducted on six flight tracks covered by mostly com and soybean crops. Thirty-four soundings were also accomplished to profile atmospheric conditions above the project area. This final report documents the flight program, describes the instrumentation aboard the aircraft, and presents a summary of the run-averaged data from each flux run. It also includes a number of graphical presentations to assist in the interpretation of data collected.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.097
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.312
Teacher spread0.263 · 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
Published2002
Admission routes2
Has abstractyes

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