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Record W4393632050 · doi:10.5281/zenodo.8307171

Model and code for "On the influence of hydroxyl radical and ocean sinks on estimated HCFC and HFC emissions and banks"

2023· dataset· en· W4393632050 on OpenAlexaboutno aff
Peidong Wang, Susan Solomon, Megan Lickley, Jeffery R. Scott, Ray F. Weiss, Ronald G. Prinn

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHydroxyl radicalEnvironmental scienceChemistryCode (set theory)Environmental chemistryMeteorologyRadicalComputer scienceOrganic chemistryPhysicsProgramming language

Abstract

fetched live from OpenAlex

This archive contains the following contents for the manuscript "On the influence of hydroxyl radical and ocean sinks on estimated HCFC and HFC emissions and banks": plotting_code.zip: <br> This directory contains python code that plot all the figures in the paper residence_time_tables.zip: <br> This directory contains csv files for each species on their atmospheric residence times under different OH and ocean scenarios discussed in the paper (a list of scenarios is in the header of each file) Agage12box_outputs: <br> This directory contains AGAGE 12 box model inputs (observed atmospheric mole fraction) and outputs (12-box model simulated atmospheric mole fractions and inferred emissions). This data is used in the WMO (2022) report (Laube &amp; Tegtmeier, 2022; Liang &amp; Rigby, 2022). HCFC-22.tar.gz (similar structure for the other 5 species):<br> Folders with prefix 'run_' contain the output from the MITgcm ocean and the 12-box coupled model simulation. Different OH and ocean scenarios are followed after the prefix 'run_'. <br> Folders with prefix 'code_' contain the modified MITgcm code. The AGAGE 12-box atmosphere model is coded in these fortran files. <br> Folder named 'Input' contains the input emission, atmospheric initial conditions, other lifetime (mainly stratospheric photochemistry), advection and diffusion timescales in the atmosphere, OH concentration, and atmospheric temperature. <br> These species-specific directories are placed under the folder 'MITgcm/verification/' after installing the MITgcm ocean general circulation model. A detailed instruction on how to install and run the MITgcm can be found at https://mitgcm.readthedocs.io/en/latest/.<br> Note that the plotting_codes can run without installing MITgcm, since the run folders already have all the model outputs. References:<br> Laube, J., &amp; Tegtmeier, S. (2022). Scientific Assessment of Ozone Depletion: 2022, Chapter 1: Update on ozone-depleting substances (ODSs) and other gases of interest to the Montreal Protocol (No. 278) (p. 509). Geneva: World Meteorological Organization.<br> Liang, Q., &amp; Rigby, M. (2022). Scientific Assessment of Ozone Depletion: 2022, Chapter 2: Hydrofluorocarbons (No. 278) (p. 509). Geneva: World Meteorological Organization.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.444
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.242
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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