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Record W89083111

Water flow between Ohau Channel and Lake Rotoiti following implementation of a diversion wall.

2009· article· en· W89083111 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Commons (University of Waikato) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsnot available
FundersNational Applied Research LaboratoriesGlobal Lake Ecological Observatory NetworkUniversity of Waikato
KeywordsChannel (broadcasting)Flow (mathematics)Hydrology (agriculture)Water diversionGeologyEnvironmental scienceGeotechnical engineeringWater resource managementComputer scienceMechanicsTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

The water quality in Lake Rotoiti has become increasingly degraded since the 1950s. Water from Lake Rotorua, with elevated phytoplankton and nutrient concentrations, has entered Lake Rotoiti via the Ohau Channel. To help improve water quality in Lake Rotoiti, a constructed wall was completed in July 2008, to divert water from the Ohau Channel towards Okere Arm in Lake Rotoiti, with the objective to transport this water into the Kaituna Rivr instead of entering the main basin of Lake Rotoiti. This report has been produced in response to a request from the Rotorua Lake Technical Advisory Group to determine water velocities in the region of the constructed wall, in order to consider the effectiveness of the diversion.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.064
GPT teacher head0.331
Teacher spread0.267 · 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