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Arran Back Cove Community Fishers Device Set Deployed at CF542 (MAMKA-7) on 2024-09-18 13:17:52 Down Cast

2024· dataset· en· W7139925483 on OpenAlexaboutno aff
MAMKA

Bibliographic record

VenueOcean Networks Canada Society · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBaySoftware deploymentSuiteGlobal Positioning SystemData setBaseline (sea)Water column

Abstract

fetched live from OpenAlex

The Community Fishers Device Set was deployed on 2024-09-18 13:17:52 to 2024-09-18 13:18:15 at Arran Back Cove at station CF542 (MAMKA-7). Arran Back Cove is a sheltered inlet located within the Bay of d'Espoir on the south coast of Newfoundland, Canada. This cove lies to the rear or inland side of Arran Cove. The dataset includes oceanographic data collected at various depths in the water column by a suite of instruments, during a single profiling deployment known as a 'cast'. A Community Fishers Instrument Set typically includes a CTD (Conductivity, Temperature, and Depth), oxygen sensor(s), fluorometer(s), and a tablet used for GPS and data transfer via the ONC-developed Community Fishers app. This cast was collected with the Community Fishers Set 026. This cast was supported by Ocean Networks Canada Society, custodian, Ocean Networks Canada Society, distributor, MAMKA, owner. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.461
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.056

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 head0.027
GPT teacher head0.251
Teacher spread0.224 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueOcean Networks Canada Society→French-language works237,207→