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Record W4394191675 · doi:10.6084/m9.figshare.22963409

Cisco_Supporting Data (all).xlsx

2023· dataset· en· W4394191675 on OpenAlexaboutno aff
Julee Stewart

Bibliographic record

VenueFigshare · 2023
Typedataset
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Abstract The lake cisco (Coregonus artedi) is not often caught by recreational anglers in open-water in western Canada, but becomes a common component of catch and release ice fisheries in the winter. Little is known about the composition of recreational cisco fisheries, or factors that affect the success of winter catch and release. We examined the size and body condition of 555 cisco caught by anglers in four interconnected lakes in southern Saskatchewan, Canada. We also examined the influence of length on the probability of hooking injuries, and determined the age of a subset of angled fish. Cisco caught by anglers ranged in total length from 24-48 cm, and 110-1,370 g mass; however, 60.2% of cisco caught ranged from 37-40 cm, and 470-560 g. The scale ages of cisco caught by anglers ranged from 4-10 years, with the most common ages caught being 6-8 years; however, scales likely underestimated age beginning around 8 years. Overall, cisco from our four study lakes had lower body conditions compared to Lake Superior populations based on standard weight comparisons. The length, mass, age, and body condition of cisco caught by anglers varied significantly among our four study lakes, following a west-to-east productivity gradient. Of the 555 cisco assessed, 54 (9.7%) experienced gill bleeding and 21 (3.8%) had other visible hooking injuries. Longer cisco had a significantly increased probability of gill bleeding, but length did not affect the probability of other injuries. Cisco are relatively slow growing in our study area and warrant more consideration from a catch and release angling perspective. Ethics Statement Animal Research (a) Animal Care and Use Protocol 16-08 "Population Ecology and Genetics of Freshwater Fish" approved by the University of Regina President's Committee on Animal Care following the guidelines of the Canadian Council on Animal Care. Field Research (b) Academic Research Permit 20AR007fp issued under the authority of the Saskatchewan Ministry of Environment (c) Authorization to tag fish ATF01_20AR007fp issued under the authority of the Saskatchewan Ministry of Environment Description of Dataset Dataset for Stewart et. al's manuscript entitled "Body size and condition, age, and catch and release injury of ice-angled cisco (Coregonus artedi) from four connected lakes in Saskatchewan, Canada." The dataset includes sheets for all cisco length and masses, tournament cisco excluded, all cisco Fulton's Condition Factor (K) and relative weight (Wr), most common subset Fulton's Condition Factor (K) and relative weight (Wr), cisco scale age by lake, cisco catch and release injury occurrence.

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)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.937
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0090.013
Science and technology studies0.0020.002
Scholarly communication0.0100.005
Open science0.0060.006
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.9370.751

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 head0.113
GPT teacher head0.312
Teacher spread0.199 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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