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Record W3114778912 · doi:10.21203/rs.3.rs-36556/v1

Formation of the Rustenburg Layered Suite by assimilation – batch crystallization (ABC) and – fractional crystallization (AFC)

2020· preprint· en· W3114778912 on OpenAlexaff
Zhuosen Yao, James E. Mungall, M. Christopher Jenkins

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsCrystallizationFractional crystallization (geology)SuiteMedicineChemistryGeochemistryLawPolitical scienceGeologyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The Rustenburg Layered Suite (RLS) of the Bushveld Complex of South Africa is a vast layered accumulation of mafic and ultramafic rocks. The layers are widely assumed to result from fractional crystallization from a melt-dominated magma chamber. We derive compositions of all units of the RLS with thermodynamic models of assimilation of crust by a komatiitic parent magma. Ultramafic U-type cumulate layers represent crystal mush produced by single stages of assimilation-batch crystallization (ABC). Anorthositic (A-type) magma mushes emerged by a second stage of batch crystallization during ascent of melts supernatant to mid-crustal U-type cumulates. Only the ferrobasaltic magma of the Upper and Upper Main Zone formed via classical assimilation-fractional crystallization (AFC) and ponded in a melt-dominated magma chamber that subsequently evolved by fractional crystallization. Mineral deposits associated with reversals between mafic and ultramafic layers, hitherto attributed to magma chamber processes, might form in small intrusions entirely lacking melt-dominated magma chambers.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.167
GPT teacher head0.412
Teacher spread0.245 · 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
Published2020
Admission routes1
Has abstractyes

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