MétaCan
Menu
Back to cohort
Record W2982205800 · doi:10.4095/296680

Regional characterization of mafic-ultramafic intrusions in the Oxford-Stull and Uchi domains, Superior Province, Ontario

2015· report· en· W2982205800 on OpenAlexaffabout
A -A Sappin, M G Houlé, C. Michael Lesher, R T Metsaranta, V J McNicoll

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMaficUltramafic rockCharacterization (materials science)GeochemistryGeologyIntrusionLayered intrusionNanotechnologyMaterials science

Abstract

fetched live from OpenAlex

The mafic-dominated Big Mac, Fishtrap Lake, Highbank Lake, and Oxtoby Lake, the ultramafic-dominated Max, and the mafic-ultramafic Wabassi Main intrusions in the Oxford-Stull and Uchi domains of the Superior Province show significant potential for Fe-Ti-V-(P), Ni-Cu-(PGE), and/or Cr-(PGE) mineralization. The broadly layered Big Mac intrusion appears to have crystallized from an evolved high Fe-Ti basaltic parental magma that was injected from a feeder conduit below the northern part of the intrusion. The Fishtrap Lake and Highbank Lake intrusions represent parts of a large layered mafic-dominated igneous complex that formed from the injection of several pulses of basaltic magma. The genetically associated Max and Wabassi Main intrusions have crystallized from more primitive, basaltic parental magmas that were injected from a feeder conduit below the northwestern part of the Wabassi Main layered intrusion. In this magmatic system, the Max intrusion represents a magmatic conduit. The Oxtoby Lake intrusion appears to have crystallized from a differentiated basaltic parental magma and may represent an isolated intrusion.

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)0.000
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 score0.059
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.036
GPT teacher head0.232
Teacher spread0.197 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

Explore more

Same topicGeological formations and processesFrench-language works237,207