MétaCan
Menu
← Back to cohort
Record W7095530944

Application of the sphalerite geobarometer to regionally metamorphosed terrains

2015· article· en· W7095530944 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSphaleritePyrrhotitePyriteVolcanogenic massive sulfide ore depositMetamorphic faciesSchistMetamorphismSulfide
DOInot available

Abstract

fetched live from OpenAlex

Sphalerite is the most thoroughly investigated of the refractory sulfides and has proven to be a useful geobarometer, particularly in regionally metamorphosed terrains. The concept of the sphalerite geobarometer derives from the variation of the FeS content of sphalerite as a function ofpressure, when the FeS activity is buffered by pyrite * hexagonal pyrrhotite and is not affected by additional Mn or Cd in the sphalerite. Application of the sphalerite geoba-rometer to the regionally metamorphosed sulfides of the Nairne Pyrit ic Formation (4.4 kbar), the Moke Creek area of the Otago Schist (5.7 kbar), and Balmat, New York (5.5 kbar) gives values which are in agreement with other, less precise, geological estimates. Sphalerite compo-sitions from metamorphosed Aphebian massive sulfide ores near Snow Lake, Manitoba, coupled with isograds mapped in the surrounding reenschist and amphibolite facies rocks by Froese and Gasparrini (1975) are compatible with a geologically realistic geotherm of 21'C/km for that region.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.202
Teacher spread0.177 · 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 designBench or experimental
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicGeological and Geochemical Analysis→French-language works237,207→