MétaCan
Menu
← Back to cohort
Record W6943687844 · doi:10.15468/wjbtcd

Four Bird Species in Rice Paddies in Shen-Gou Village, Yilan

2020· dataset· zh· W6943687844 on OpenAlexaff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2020
Typedataset
Languagezh
Field
Topic
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsPaddy fieldEctothermField (mathematics)Taxonomy (biology)Species diversity

Abstract

fetched live from OpenAlex

農業與野生生物的衝突一直都在,野生鳥類吃秧苗、穀物、水果的案例眾多,本計畫針對水鳥吃秧苗的議題,蒐集宜蘭深溝村可能對水稻秧苗造成損害之常見水鳥,主要目標物種為:紅冠水雞、白腹秧雞、花嘴鴨、彩鷸,附帶紀錄其他秧雞科鳥類與其他常見/特殊鳥類。希望為解決農業與野生動物衝突累積基礎資料。

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.005

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 head0.029
GPT teacher head0.220
Teacher spread0.191 · 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 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Biodiversity Information Facility→French-language works237,207→