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Record W2123861587 · doi:10.5430/bmr.v2n2p96

A Brief Analysis of Low-Carbon Agriculture Development Pattern

2013· article· en· W2123861587 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBusiness and Management Research · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicEfficiency Analysis Using DEA
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureCarbon fibersBusinessGreenhouse gasNatural resource economicsLow-carbon economySustainable Agriculture Innovation NetworkClimate changeEnvironmental scienceEconomicsComputer scienceEcology

Abstract

fetched live from OpenAlex

Low-carbon agriculture demonstrated mild economy in the development of agriculture in which it different from ecotype agriculture, environmental agriculture and circulatory agriculture. Low-carbon agriculture is energy saving technology, solid carbon technology and it is also the reproducible agriculture recommended in the agriculture field in order to maintain the global environment safety and improves global climate. Low energy, low releasing, low pollute are the characteristics for the Low-carbon agriculture .It is new type agriculture with multi-functions such as: agriculture industry, safe security, climate adjustment, environment restraint and countryside finance. Development of low-carbon agriculture is an urgent need and great potential and promising. Low energy, low releasing, low pollute and high capability ,high efficiency, high profitability(three low or high) is the base for the Low-carbon agriculture develop mode .To finally increasing the farmer income and To improve agriculture efficiency and advance economy we have to defined the direction with Low-carbon ,use energy saving and solid carbon development as tool .

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.012
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.093
GPT teacher head0.385
Teacher spread0.292 · 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