MétaCan
Menu
← Back to cohort
Record W4393689627 · doi:10.5281/zenodo.3373997

Alaskan River Ice Dataset

2019· dataset· en· W4393689627 on OpenAlexaboutno aff
Wayana Dolan, Tamlin Pavelsky, Xiao Yang

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical geographyGeographyEnvironmental science

Abstract

fetched live from OpenAlex

1. Summary This data is public for a manuscript under review. 2. File list AlaskaIceResultsv1 (.shp, .dbf, .prj, .shx) River ice breakup, freeze-up, duration, and uncertainty observations for Alaskan rivers wider than 150m from 2000-2018 CanadaValidationResultsv1 (.shp, .dbf, .prj, .shx) River ice breakup, freeze-up, duration, and uncertainty observations for reaches located near Canadian WSC gages from 2000-2018 validationLocationsUSGS (.shp, .dbf, .prj, .shx) Locations of USGS gages used for ice flag validation validationLocationsWSC (.shp, .dbf, .prj, .shx) Locations of WSC gages used for ice flag validation validationLocationsNWS (.shp, .dbf, .prj, .shx) Locations of NWS first ice and breakup observations AlaskanRegions (.shp, .dbf, .prj, .shx) Regions used for regional Alaskan analysis 3. Attribute description AlaskaIceResultsv1 & CanadaValidationResultsv1 id: Alaskan or Canadian reach ID widthMd: Median reach width (m) derived from the GRWL vector product (Allen & Pavelsky, 2018) elevMed (only AlaskaIceResultsv1): Median reach elevation (m) derived from the GRWL vector product (Allen & Pavelsky, 2018) region (only AlaskaIceResultsv1): The region of AK in which the reach resides. iceYear: The ice year of the observation based upon a year starting August 1st and ending July 31st. For example, ice year 2001 refers to Aug 1st 2000 – July 31st 2001. duration: Total ice duration (days). 0 = no duration data rdThresh: Reach-specific red band threshold used to distinguish between ice and water pixels observing the reach fuDate/buDate: Freeze-up/breakup date. Blank = no freeze-up/breakup date fuIcDOY/buIcDOY: Freeze-up/breakup day of the ice year. 0 = no freeze-up/breakup date fuUncrt/buUncrt: Uncertainty in freeze-up/breakup date. 0 = no freeze-up/breakup date fUncertF/bUncertF: Uncertainty flag for freeze-up/breakup dates. “good” = uncertainty <= ±10 days “flag” = uncertainty > ±10 days Blank = no freeze-up/breakup date validationLocationsUSGS & validationLocationsWSC id: Alaskan or Canadian reach ID country: USA or Canada org: United States Geological Survey (USGS) or Water Survey of Canada (WSC) stationNum: Gage station number stationNm: Gage station name yearFrom: Year that discharge data collection begun at the station yearTo: Year that discharge data collection ended at the station validationLocationsNWS id: Alaskan reach ID fnLctn: Name of NWS location nrCnfln: Is the observation near a confluence (y/n) mltChnn: Is the observation on a multichannel river (y/n) nYersFU: Number of years of NWS first-ice dates compared against MODIS freeze-up dates during the validation process nYersBU: Number of years of NWS breakup dates compared against MODIS breakup dates during the validation process AlaskanRegions region: Alaskan region name

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)0.003
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.130
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0590.073

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicArctic and Antarctic ice dynamics→French-language works237,207→