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Record W11082349

Особенности обоснования технических средств для противоэрозионной обработки почв

2012· article· en· W11082349 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueПолитематический сетевой электронный научный журнал Кубанского государственного аграрного университета · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLand Use and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)ErosionAgricultureAgricultural engineeringEnvironmental resource managementWater resource managementGeographyEnvironmental scienceComputer scienceEngineeringGeologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Diabetes prevalence and general demographic data for individuals with diabetes were evaluated in the Cree of Moose Factory, Ontario. Individuals with diabetes were identified through a retrospective review of the diabetes registry as well as of outpatient and inpatient records. The crude prevalence of diabetes was 62 (95% confidence interval: 54 72) per 1,000. The direct age-standardized prevalence of diabetes was 103 per 1,000 for the entire population (95% confidence interval: 89 118 per 1,000, standardized to the 1991 Canadian population). The estimated rate of diabetes in the Canadian population is approximately 5%. The average age of individuals with diabetes in the community was 53 years; the average duration of diabetes was 8.2 years. Most of the population with diabetes were female (64 %) and were using anti-hypertensive medications (64%). This study presents diabetes prevalence data for the population of Moose Factory, Ontario, that indicate a higher prevalence than in both the Canadian population and other Cree populations in the region.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.004
Science and technology studies0.0050.002
Scholarly communication0.0010.005
Open science0.0040.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.010

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 head0.038
GPT teacher head0.352
Teacher spread0.314 · 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