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Record W4394253116 · doi:10.6084/m9.figshare.3559347

Data Paper. Data Paper

2016· dataset· en· W4394253116 on OpenAlexaboutno aff
Cortney A. Watt, Ricardo Scrosati

Bibliographic record

VenueFigshare · 2016
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

File List manipulative_experiment.csv (MD5: 28379fc1321dc2e9d53d3cdefac130a0) mensurative_study.csv (MD5: 9715ac8059fddc7856d7990d66cffcd3) Description Our data set describes the abundance of seaweeds and invertebrates found in rocky intertidal habitats on the Atlantic coast of Nova Scotia, Canada. One subset of data resulted from a manipulative experiment that tested the effects of macroalgal ecosystem engineers (Ascophyllum nodosum and Fucus spp.) on the richness, diversity, and composition of understory communities along the environmental stress gradient that occurs across elevations because of tides. Abundance data for all understory taxa are provided for 120 quadrats that characterized two macroalgal canopy treatments (canopy vs. no canopy) and three elevation zones (high, middle, and low). Another subset of data resulted from a mensurative study done regionally based on four locations spanning 350 km of coastline. Data from that study describe the abundance of seaweeds (including the canopy-forming species mentioned above) and invertebrates found at three elevation zones (high, middle, and low) for a total of 1170 quadrats. Both the manipulative experiment and the mensurative study revealed that intertidal macroalgal canopies affect the structure of benthic communities at high and middle elevations (where the canopies ameliorate the otherwise harsh conditions during low tides) but have no effects at low elevations (where conditions remain mild during low tides due to short aerial exposures). Because of its taxonomic amplitude and coverage of a wide environmental stress gradient, our data set is potentially useful to address in novel or infrequent ways other broad ecological issues, such as abundance–occupancy relationships, species co-occurrence, species abundance distributions, dominance and rarity, spatial scales of population and community variability, and distribution of phylogenetic diversity. Key words: abundance; alga; canopy; ecosystem engineer; environmental stress gradient; intertidal; invertebrate; rocky shore; seaweed; species distribution.

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)0.004
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.234
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.009
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0030.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.7660.575

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 head0.096
GPT teacher head0.264
Teacher spread0.168 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2016
Admission routes1
Has abstractyes

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