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Record W2911014557

Cover Crop Chart (version 2.0): Helping producers choose cover crops in crop and forage production systems

2018· dataset· en· W2911014557 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCover cropCropAgricultureForageAgricultural engineeringAgroforestryAgricultural scienceEnvironmental scienceAgronomyGeographyForestryEngineeringBiology
DOInot available

Abstract

fetched live from OpenAlex

the cover crop chart v 2 0 is designed to assist producers with decisions on the use of cover crops in crop and forage production systems the chart patterned after the periodic table of elements includes information on 58 crop species that may be planted individually or in cocktail mixtures information on growth cycle relative water use plant architecture seeding depth forage quality pollination characteristics and nutrient cycling are included for most crop species the cover crop chart is easy to use requiring only adobe acrobat software using the chart as a guide users can select individual crop species by clicking on the name which will direct them to additional information about the selected crop icons within each crop page return the user to the chart thereby easily allowing comparisons of different crops the cover crop chart represents a compendium of information from multiple sources throughout the u s and canada and is not based on research conducted at the usda ars northern great plains research laboratory ngprl primary sources of information included the midwest cover crops council usda sustainable agriculture research education sare usda natural resources conservation service nrcs plants database relevant peer reviewed journal articles and the 3rd edition of managing cover crops profitably andy clark editor information on specific crops is occasionally generalized and or approximate to accommodate wide variation in geographic agronomic conditions and therefore may not reflect performance in on farm conditions accordingly usda agricultural research service ars makes no guarantee to the performance of specific crops based on information provided within the cover crop chart the cover crop chart is produced and distributed by the staff of the usda ars ngprl mandan nd mark liebig and holly johnson contributed to the design and content of the chart with input from ngprl staff and producers and technicians from the area iv soil conservation districts of north dakota and nrcs staff at the bismarck and dickinson field area offices

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)0.001
metaresearch head score (Gemma)0.000
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: Dataset
Teacher disagreement score0.296
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.018
GPT teacher head0.218
Teacher spread0.200 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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