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Record W7099951577

Follow-up Studies Addressing Questions Identified During Cycle 1 of the Adult Fish Survey

2015· article· en· W7099951577 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>MillUpstream (networking)Annual cycleGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

The Canadian federal government instituted an environment effects monitor-ing (EEM) program for the pulp and paper industry to ensure the long-term integrity of fish populations below the discharge of mill effluents. The pro-gram is cyclical in nature (every three to four years) and one of the components of the program is an adult fish survey which monitors wild fish health in the receiving environments. Cycle 1 reports were submitted in April of 1996, and the report for the James Maclaren Inc. mill at Thurso, Quebec, suggested some responses were evident in fish downstream of the mill discharge. However, the receiving environment was subject to inputs from other potential sources or confounding factors such as farm runoff, storm sewers, municipal discharges and upstream paper mills. A review of other Cycle 1 studies also identified a number of problems encountered during the adult fish surveys. At this time, Maclaren researchers and Environment Canada set up a collaborative research project as part of their Cycle 2 studies at the Thurso site. Objectives of the study included a comparison of Cycle 2 results to their Cycle 1 studies, an assessment

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)0.020
metaresearch head score (Gemma)0.035
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 score0.027
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.141
GPT teacher head0.292
Teacher spread0.151 · 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
Published2015
Admission routes1
Has abstractyes

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