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Record W4299999785

Surface irrigation of dairy farm effluent. Part II : System design and operation

2007· preprint· en· W4299999785 on OpenAlexaffabout
I. Ali, Sophie Morin, Suzelle Barrington, Joann K. Whalen, R. Bonnell, José Martínez

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2007
Typepreprint
Languageen
FieldEngineering
TopicCoal Combustion and Slurry Processing
Canadian institutionsMcGill University
Fundersnot available
KeywordsEffluentIrrigationEnvironmental scienceSurface irrigationAgricultural engineeringEngineeringWater resource managementEnvironmental engineeringAgronomyBiology
DOInot available

Abstract

fetched live from OpenAlex

[Notes_IRSTEA]Travail issu du mémoire (Master) d'un étudiant (Ali Inamulah) encadré (aidé) par José Martinez lors de sa mobilité à l'Université McGill au cours de l'été 2004 (collaboration avec le Prof. Suzelle BARRINGTON, du département de Génie des Bioresources). [Departement_IRSTEA]MA [TR1_IRSTEA]TED / EPURE

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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

Citations2
Published2007
Admission routes2
Has abstractyes

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