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Designing an International Greenhouse Gas Emissions Trading System

2016· article· en· W10996203 on OpenAlexaboutno aff
Richard B. Stewart, James L. Connaughton, Lesley C. Foxhall

Bibliographic record

VenueLeukemia Research · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
FundersNational Cancer InstituteNational Heart, Lung, and Blood Institute
KeywordsKyoto ProtocolClean Development MechanismGreenhouse gasEmissions tradingUnited Nations Framework Convention on Climate ChangeBusinessMontreal ProtocolCarbon offsetNatural resource economicsEuropean unionInternational tradeClimate change mitigationEnvironmental economicsEconomics

Abstract

fetched live from OpenAlex

Co-activation of Meisl with Hoxa7 or Hoxa9 homeobox genes by retroviral gene insertion has recently been reported to be leukemogenic in murine myeloid leukemia. In this study we determined their expression in human leukemia. Most human myeloid leukemia cell lines co-expressed MEIS1 with HOXA7 and HOXA9. Among patients with acute leukemia, 50% of AML patients expressed MEIS1, while the majority of ALL patients were negative. A total of 89.5% of patients expressing MEIS1 co-expressed HOXA7. In unadjusted models, poorer response to chemotherapy was associated with expression of HOXA7 regardless of MEIS1 status and older patients were more likely to express either gene.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.297
GPT teacher head0.361
Teacher spread0.064 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2016
Admission routes1
Has abstractyes

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