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Supplementary material to "Archaeal lipostratigraphy of the Scotian Slope shallow sediments, Atlantic Canada"

2025· preprint· en· W4408947934 on OpenAlexaboutno aff
Narges Ahangarian, Unyime U. Umoh, Natasha MacAdam, Adam MacDonald, Patricia Granados, Jeremy N. Bentley, Elish Redshaw, Martin G. Fowler, Venus Baghalabadi, G. Todd Ventura

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyGeologyGeography

Abstract

fetched live from OpenAlex

Greyish brown mud with sand laminations and lenses 2015-4, 600 NSPC-2015018-004-S04 B 42.310843 -63.886528Greyish brown mud with sand laminations and lenses 2015-6, 220 NSPC 2015018-0006 S01 B 41.927130 -63.716420Greyish brown mud with sand laminations 2015-6, 330 NSPC 2015018-0006 S02 B 41.927130 -63.716420Grey mud with sand laminations 2015-6, 360 NSPC 2015018-0006 S03 B 41.927130 -63.716420Grey mud with sand laminations 2015-6, 500 NSPC 2015018-0006 S04 B 41.927130 -63.716420Reddish brown mud with sand laminations 2015-8, 750 NSPC-2015018-008-S03 B 42.097695 -63.693832Reddish brown mud with sand laminations 2016-1, 630 2016011-001 S03 B 41.724833 -64.796127Dark grey mud with coarse sand laminations 2016-3, 160 2016011-003 S01 B 41.804088 -64.869017Dark grey mud with sparse sand 2016-12, 2016011-012 S03 B 42.293287 -63.997142Dark grey mud with sand laminations 2016-14, 2016011-014 S01 B 41.927357 -63.716940Dark grey silty clay with fine sand laminations 2016-14, 2016011-014 S02 B 41.927357 -63.716940Reddish brown silty clay with fine sand laminations 2016-14, 2016011-014 S03 B 41.927357 -63.716940Dark grey silty clay with sand laminations 2016-14, 2016011-014 S04 B 41.927357 -63.716940Dark grey silty clay with sand laminations 2016-14, 2016011-014 S05 B 41.927357 -63.716940Reddish brown mud with gradual transition to dark grey and sand laminations 2016-14, 2016011-014 S06 B 41.927357 -63.716940Dark grey silty clay with very fine sand laminations 2015-9, 150 NSPC 2015018-0009 S01 B 42.308610 -62.836325Grey mud 2015-9, 300 NSPC 2015018-0009 S03 B 42.308610 -62.836325Grey mud with sand lenses 2015-9, 370 NSPC 2015018-0009 S04 B 42.308610 -62.836325Greyish brown mud clast conglomerate 2015-11, NSPC-2015018-011-S03 B 42.270058 -62.938060Greyish brown mud with sand laminations 2015-12, NSPC-2015018-012-S03 B 42.321158 -62.467133Greyish brown mud 2015-13, NSPC-2015018-013-S03 B 42.360212 -62.465482Greenish brown mud 2016-15, 2016011-015 S04 B 42.305998 -63.243618Greyish brown mud with transition to reddish brown and fine sand laminations 2016-17, 2016011-017 S03 B 42.228892 -63.117570Reddish brown silty clay with coarse sand laminations 2016-20, 2016011-020 S03 B 42.304433 -62.685662Dark grey silty clay with transition to reddish brown and sand laminations 2016-22, 2016011-022 S03 B 42.009998 -62.814178Dark grey silty clay with coarse sand laminations 2016-24, 2016011-024 S02 B 41.878680 -62.837250Reddish grey silty clay with fine sand lenses 2016-25, 2016011-025 S01 B 42.053920 -62.518298Greyish brown silty clay with fine sand laminations 2016-25, 2016011-025 S02 B 42.053920 -62.518298Greyish brown silty clay with fine sand lenses 2016-25, 2016011-025 S03 B 42.053920 -62.518298Greyish brown silty clay with sand laminations 2016-25, 2016011-025 S04 B 42.053920 -62.518298Reddish brown silty clay with sand laminations 2016-26, 2016011-026 S02 B 42.104218 -62.538445Greyish brown silty clay with sand laminations 2016-28, 2016011-028 S02 B 42.279317 -62.310168Reddish brown silty clay with fine sand lenses 2016-29, 2016011-029 S03 B 42.196683 -62.313510Dark grey silty clay with fine sand lenses and laminations 2016-30, 2016011-030 S02 B 42.470058 -62.130127Greyish brown silty clay with fine sand lenses 2016-49, 2016011-049 S06 B 42.159815 62.359747 Greenish grey silty clay 2018

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)0.005
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 score0.642
Threshold uncertainty score0.832

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.6420.140

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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".

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Citations0
Published2025
Admission routes1
Has abstractno

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