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Record W7139288671

Final Report

2007· other· en· W7139288671 on OpenAlexaboutno aff
James M. Haynes, Sara T. Wellman, James J. Pagano

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2007
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeShoreFish <Actinopterygii>WatershedMileWetland
DOInot available

Abstract

fetched live from OpenAlex

In the 1980s the binational (Canada, U.S.) International Joint Commission (IJC) began the process of creating and implementing remedial action plans (RAPs) in 43 contaminated areas of concern (AOCs) throughout the Great Lakes Basin. The IJC established 14 “use impairments” that could cause a local area to be “listed” as an AOC, including “degradation of fish and wildlife populations” and “bird or animal deformities or reproductive problems.” In 1988, Foley et al. reported that fish in Lake Ontario and the Genesee River had PCB concentrations within the range shown to cause reproductive failure in captive mink. This evidence, coupled with the perceived absence of mink within 2 miles of the lake, led to the inclusion of these two use impairments in the RAP (1993, 1997). This study (Haynes et al. 2002) was designed to determine if populations of mink on the shore of the Rochester Embayment of Lake Ontario (RELO) are negatively impacted by bioaccumulative chemicals of concern (BCCs) and, if so, whether the BCCs are originating in the Embayment watershed or elsewhere. The AOC includes the Embayment, a 35 square mile portion of Lake Ontario south of a line between Bogus Point in the town of Parma and Nine Mile Point in the town of Webster (both in Monroe County, New York); adjacent wetlands and bays; and the six mile reach of the Genesee River, from the Lower Falls to the mouth at Lake Ontario (Figure 1). The RAP also includes the sub-watersheds of Salmon Creek (western sub-basin), the Genesee River, and Irondequoit Creek (central sub-basin).

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.021
GPT teacher head0.214
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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