MétaCan
Menu
Back to cohort
Record W1977146354 · doi:10.3897/biorisk.3.15

Key Biodiversity Areas: Rapid assessment of fish fauna in southern Iraq

2009· article· en· W1977146354 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBIORISK – Biodiversity and Ecosystem Risk Assessment · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsRogers Communications (Canada)
Fundersnot available
KeywordsFaunaBiodiversityMarshGeographyFish <Actinopterygii>Key (lock)Abundance (ecology)EcologyFisheryEnvironmental resource managementEnvironmental scienceBiologyWetland

Abstract

fetched live from OpenAlex

Surveys of fish in the southern marshes of Iraq are an integral component of the Key Biodiversity Areas (KBA) Project that was initiated in 2005 by Nature Iraq. This included sampling in the January to February and June periods of 2005, 2006 and 2007. Fish species occurrence, relative abundance, and weight and length were recorded. Species of importance for local consumption were noted. An initial project report included details and photographs of the species observed in 2005. Records based on interviews with local residents are noted. Sixteen “Species of Special Concern” are proposed, considering both economic and ecological factors that may be relevant to a future national fish management strategy in Iraq.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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