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Record W2534951213 · doi:10.21273/horttech.25.2.162

The Effects of Plastic Mulch Systems on Soil Temperature and Moisture in Central Ontario

2015· article· en· W2534951213 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHortTechnology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIrrigation Practices and Water Management
Canadian institutionsLakehead University
Fundersnot available
KeywordsMulchWater contentEnvironmental scienceIrrigationMoisturePlastic mulchFrost (temperature)AgronomySoil scienceMaterials scienceGeologyBiology

Abstract

fetched live from OpenAlex

The impact of polyolefin-based agricultural mulch films (including clear, black, and white-on-black films) on soil temperature and moisture content was studied, using a bare plot as a control, over a 4-month period in central Ontario, Canada. Data indicate a negative correlation between the change in soil temperature under the films relative to bare soil and the absolute value of bare soil temperature. Additionally, a negative correlation between the effect of films on soil moisture and the moisture level of bare soil was indicated. All mulch films demonstrated qualitatively similar ability to insulate the soil from extremes in both temperature and moisture, suggesting a potentially reduced need for irrigation and protecting against early frost, high temperatures, overwatering, and drought.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.008
GPT teacher head0.183
Teacher spread0.175 · 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