MétaCan
Menu
Back to cohort
Record W1455753427

The sustainability of municipal wastewater irrigation in the Interlake Region of Manitoba as a means of nitrogen and phosphorous abatement for Lake Winnipeg

2011· other· en· W1455753427 on OpenAlexvenueaboutno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2011
Typeother
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsnot available
Fundersnot available
KeywordsWastewaterSustainabilityIrrigationEnvironmental scienceWater resource managementOrdinationNitrogenEnvironmental protectionEnvironmental engineeringEcologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

In Manitoba there are an estimated 200 small and 10 large wastewater treatment systems\ncontributing nutrients to surface water when effluent is discharged. The objective of this study\nwas to assess the sustainability and social acceptance of wastewater irrigation in the southeast\nInterlake region. It was concluded that sustainably irrigating forage crops would be challenging.\nThe combination of soils with only ratings of fair for irrigability and the low quality of\nwastewater limits the long term sustainability of irrigation. Only one study site maintains a high\npotential to develop a wastewater irrigation program due to sufficient suitable land and\nappropriate wastewater quality. The social acceptance of wastewater irrigation is mixed with\nonly about half the survey respondents favourable to irrigation or reuse of wastewater.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.157
Teacher spread0.152 · 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 designObservational
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

Citations0
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicWastewater Treatment and ReuseFrench-language works237,207