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Supplementary material to "An open source refactoring of the Canadian small lakes model for estimates of evaporation from medium sized reservoirs"

2024· preprint· en· W4391130541 on OpenAlexaboutno aff
M. Graham Clark, Sean K. Carey

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
Fundersnot available
KeywordsCode refactoringOpen sourceEvaporationEnvironmental scienceOpen waterHydrology (agriculture)GeologyGeographyComputer scienceGeotechnical engineeringMeteorologyOceanographyProgramming languageSoftware

Abstract

fetched live from OpenAlex

ALBSLGAT SnowPackAlbedo Snow albedo [ ] ALBSLROT SnowPackAlbedo_In Snow albedo [ ] (ROT) ALILROT DiagTotalNIRAtLakeSurface_In Diagnosed total near-infrared albedo of lake surface [ ] (ROT) ALVLGAT DiagTotalVisAtLakeSurface Diagnosed total visible albedo of lake surface [ ] ALVLROT DiagTotalVisAtLakeSurface_In Diagnosed total visible albedo of lake surface [ ] (ROT) ASIDROT SnowAlbedoNIR_In Optional user-specified value of snow near-infrared albedo to override CLASS-calculated value [ ] (ROT) ASILGAT SnowAlbedoNIR Optional user-specified value of snow near-infrared albedo to override CLASS-calculated value [ ] (ROT) ASVDROT SnowAlbedoVis_In Optional user-specified value of snow visible albedo to override CLASScalculated value (ROT) ASVLGAT SnowAlbedoVis Optional user-specified value of snow visible albedo to override CLASScalculated value (ROT) BCSNROT --Removed, had no purpose BLAKGAT ExtinctionCoeff Beers Law Parameter -extinction coefficent (ROT) BLAKROT ExtinctionCoeff_In Beers Law Parameter -extinction coefficent (ROT) CDHGAT SurfDragCoeffForHeat Surface drag coefficient for heat [ ] (CDH) CDHROT SurfDragCoeffForHeat_In Surface drag coefficient for heat [ ] (CDH) CDMGAT SurfDragCoeffForMomentum Surface drag coefficient for momentum [ ] (CDM) CDMROT SurfDragCoeffForMomentum_In Surface drag coefficient for momentum [ ] (CDM) CGRAV --Acceleration due to gravity [m s-1], removed and just used GRAV instead since they are equivilant CKARM --Von Karman constant [-], removed and just used VKC CLHMLT LatentHeatOfFreezingH2O Latent heat of freezing of water [J kg-1], defined as 0.334 x 10^6 CLHVAP LatentHeatOfVaporizationH2O Latent heat of vaporization of water [J kg-1], defined as 2.501 x 10^6 COSZ CosineOfSolarZenith_Temp CPD --Specific heat of air [J kg-1 K-1] CSZGAT CosineOfSolarZenith Cosine of solar zenith angle [ ] CSZROW CosineOfSolarZenith_In Cosine of solar zenith angle [ ] CTLSTP ChangeInInternalLakeEnergy Change in internal energy of lake over current time step [W m-2] DAY CurrentDecimalDay Decimal Day DECL Declanation Declanation DEGLAT LatitudeInDeg_In Load from the lake.ini(4th line, 7th value)

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.519
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0050.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4530.117

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 head0.050
GPT teacher head0.284
Teacher spread0.234 · 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.

Study designNot applicable
Domainnot available
GenreSoftware

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
Published2024
Admission routes1
Has abstractyes

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