MétaCan
Menu
Back to cohort
Record W4394711122 · doi:10.1016/j.xpro.2024.103004

Protocol to quantify bird nest morphology via image analyses using linear measurements and geometric landmarks

2024· article· en· W4394711122 on OpenAlexafffund
Ben Whittaker, Andrés Camacho‐Alpízar, Lauren M. Guillette

Bibliographic record

VenueSTAR Protocols · 2024
Typearticle
Languageen
FieldMathematics
TopicMorphological variations and asymmetry
Canadian institutionsUniversity of Alberta
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of Alberta
KeywordsProtocol (science)Morphology (biology)Artificial intelligenceComputer visionNest (protein structural motif)Computer scienceMathematicsPattern recognition (psychology)BiologyZoologyMedicinePathology

Abstract

fetched live from OpenAlex

Here, we present a protocol to quantify bird nest morphology via image analyses. We describe steps for collecting linear size measurements, placing geometric landmarks, and undertaking generalized Procrustes analysis to extract coordinate data. This protocol was designed to measure within- and among-individual variation in the morphology of dome nests built by captive zebra finches using coconut fiber in a laboratory environment. For complete details on the use and execution of this protocol, please refer to Whittaker et al.1

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.616
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.363
GPT teacher head0.504
Teacher spread0.140 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreProtocol

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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueSTAR ProtocolsSame topicMorphological variations and asymmetryFrench-language works237,207