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Record W7094449791

PARASITES AND PATHOGENS OF FISH FROM DEVILS LAKE,\nSHEYENNE RIVER, RED RIVER, AND THE RED RIVER DELTA.

2007· article· W7094449791 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueInsecta mundi · 2007
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicMyxozoan Parasites in Aquatic Species
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>TributarySpring (device)Work (physics)CommissionFisheries Research
DOInot available

Abstract

fetched live from OpenAlex

The International Joint Commission and International Red River Board contacted the AEC Co-Chairs and requested that a program be developed to monitor parasites and pathogens in Devils Lake. The objective of this program was to be a further analysis of the potential for transfer of species that might exist in Devils Lake but not in the Sheyenne River, Red River or Lake Winnipeg. Previous studies conducted on Devils Lake (Hudson and Peters, 2005, Williamson et al. 2005, Arroyo 2005) focused on fish parasites and pathogens, phytoplankton, zooplankton, aquatic macrophytes, and terrestrial plants. The IJC requested a proposal that would continue the work on Devils Lake in 2006. The IJC also asked that the proposal include an analysis of multiple species of concern in addition to fish parasites and pathogens and tributaries be included in the program. The AEC Co-Chairs were charged with developing a proposal and budget for the proposed work. The IJC further requested that sampling begin in the spring of 2006. As a first step in the development of a proposal the AEC Co-Chairs contacted fish health experts in the U.S. and Canada for technical assistance. As a result of early consultations with these experts the AEC Co-Chairs made the following recommendations to the IJC regarding development of the proposal:\n1. Work for 2006 should focus on fish parasites and pathogens and be an extension of the previous 2005 work.\n2. Samples should also be collected from the Sheyenne River, Red River and Lake Winnipeg as well as Devils Lake.\n3. The monitoring program should be conducted twice each year and be carried out in 2006, 2007, and 2008.\n4. A risk assessment should be conducted using data collected from previous studies and incorporating the 2006 data.\n5. A long term program should be developed that includes tributaries and other species of concern.\n6. Funding be provided by each country to the respective agencies conducting the sampling and analysis in each country. The U.S. would fund the work in Devils Lake,\nSheyenne River and Red River and Canada would fund the work in Lake Winnipeg. During the spring and early summer of 2006, the AEC Co-Chairs worked closely with fish health experts to develop a proposal and budget for a three year sampling program. This program would focus on fish parasites and pathogens and include a risk assessment as recommended. The proposal was submitted to the IRRB and IJC at the summer meeting in Winnipeg in July 2006. The first milestone in implementing the proposal was convening a meeting of the fish health experts from both countries. The objective of this meeting was to discuss specific field and laboratory methods for collection, preservation, identification and analysis of fish parasites and pathogens. While there were differences identified in specific methods the outcome of the meeting was agreement that both countries methods were comparable and compatible and the work could proceed. There was also agreement that regular coordination between scientists from both counties would be critical to a successful and scientifically defensible monitoring program. It is emphasized that the 2006 sampling was the first year of an anticipated 3 year program. Future sampling will be designed to capture different conditions in the watershed. The reader is cautioned to not draw any conclusions about the state of the watershed until all of the anticipated future results have been compiled and analyzed. It is the intent of the International Red River Board to develop a final report after the completion of the third year.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.011
GPT teacher head0.245
Teacher spread0.233 · 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