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Record W7077494722 · doi:10.5281/zenodo.16911995

Figure Į. Taxon identification tree: a neighbor-joining tree with bootstrap support based on 1000 random replications. The COI dataset included 658 positions. Distances were computed using the Kimura 2-parameter method. Individual specimen codes indicate location of collection site: "SV"= Svalbard, Norway; "IS" = Iceland; "OSF"= Oslofjord, Norway; "CHIR CH" and "HLC" = Churchill, Manitoba, Canada; "SEG5" - 7 = Nevada, USA; "SEG59"= Minnesota, USA; "SEG36" – 38 = Maryland, USA; "Finnmark"= northern Norway. in Phenotypic and genetic variation within the Cricotopus sylvestris speciesgroup (Diptera, Chironomidae), across a Nearctic - Palaearctic gradient

2012· other· en· W7077494722 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2012
Typeother
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Tree (set theory)Random treePattern recognition (psychology)Random forest

Abstract

fetched live from OpenAlex

Figure Į. Taxon identification tree: a neighbor-joining tree with bootstrap support based on 1000 random replications. The COI dataset included 658 positions. Distances were computed using the Kimura 2-parameter method. Individual specimen codes indicate location of collection site: "SV"= Svalbard, Norway; "IS" = Iceland; "OSF"= Oslofjord, Norway; "CHIR CH" and "HLC" = Churchill, Manitoba, Canada; "SEG5" - 7 = Nevada, USA; "SEG59"= Minnesota, USA; "SEG36" – 38 = Maryland, USA; "Finnmark"= northern Norway.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Dataset
About the Canadian research system: no · About a Canadian topic: yes
Observationallow
gptInsufficient payload (model declined to judge)
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

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), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.240
Teacher spread0.214 · 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

Labeled directly by 2 models reading the full record.

Insufficient payload (model declined to judge)

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Not applicable
Domainnot available
GenreDataset · Other

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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicHistory of Computing TechnologiesCategoryInsufficient payload (model declined to judge)French-language works237,207