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The WTI Crude Negative Pricing

2020· article· en· W3093380012 on OpenAlexaff
Serah Sudhin

Bibliographic record

VenueInternational Journal of Foreign Trade and International Business · 2020
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsWest Texas IntermediateFutures contractCrude oilCommodityEconomicsFinancial economicsCommerceBusinessEconomic historyMarket economyEngineeringPetroleum engineering

Abstract

fetched live from OpenAlex

Crude Oil is and was the most coveted commodity in the world, as it is the engine of transport, manufacturing and other ancillary industries. Can you imagine snoozing off on April 17th 2020 and waking up on April 20th 2020, only to find that this commodity has become the seller's Crimean curse? For starters, the Corona Virus clamped all economic and social activity, halting all semblance of the industrial 21st century, during the lock down that has extended for more than two months. Its during this unprecedented phase, that all economic wisdom came screeching to a halt. Stay with me through the course of the article to understand what happened to the WTI Crude April Futures.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0530.012

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 head0.023
GPT teacher head0.237
Teacher spread0.214 · 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
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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