MétaCan
Menu
← Back to cohort
Record W2181781047

RECENT HIGH-DENSITY LAKE-SEDIMENT AND WATER SURVEYS IN CENTRAL LABRADOR

2000· article· en· W2181781047 on OpenAlexaboutno aff
J.W. McConnell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyGeochemistryMaficMineralization (soil science)LithologyBayBedrockSedimentary rockClastic rockGeomorphologyOceanographySoil science
DOInot available

Abstract

fetched live from OpenAlex

During 1998, high-density lake-sediment and water-geochemical surveys were conducted in four areas of central Labrador. Samples were collected from 940 sites in areas regarded as prospective for Ni, Cu, and possibly Au mineralization. The Wilson Lake area has high values of Ni and Cu in the lake sediment, and in several known sulphide occurrences, but has been little explored; it is underlain by paragneiss and mafic gneiss. The Seal Lake area, which is underlain by mafic volcanic and high-level intrusive and clastic sedimentary rocks, has been extensively explored for Cu and has many known prospects; the present survey expands the focus of previous exploration activity. The Harp Lake area is mainly underlain by anorthosite and related rocks. The area surveyed is distinguished by having elevated values of Cu and Ni in reconnaissance lake-sediment data. Over 23 sulphide occurrences are already known within the survey boundary. The Pants Lake intrusion area contains the best known analogue of Voisey's Bay-style mineralization in Labrador. The Ni–Cu–Co mineralization is widespread, occurring in the basal portion of the layered, sheet-like, gabbroic Pants Lake intrusion. Results of the current high-density lake surveys identify, in addition to most known mineral occurrences in the four areas, several watersheds without known mineralization. The Wilson Lake area contains a strong elongate Ni anomaly. The Seal Lake area has several lakes that have high Cu content in water and/or sediment without known mineralization. The Harp Lake area survey identifies three lakes having anomalous Cu in sediment and two areas that have anomalous Ni content in water without corresponding known mineralization. Two new exploration target areas are identified in the Pants Lake survey area. An area with several samples of lake water having high Ni values is outside the main exploration area and an adjacent pair of lakes having anomalous Au and Sb is located several kilometres to the east of the base-metal exploration area in a region underlain by Archean gneiss.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.453

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2000
Admission routes1
Has abstractyes

Explore more

Same topicGeochemistry and Geologic Mapping→French-language works237,207→