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Record W2947917231 · doi:10.26906/sunz.2019.2.032

ЕНЕРГООЩАДНИЙ ІНКУБАТОР ДЛЯ ФЕРМЕРСЬКИХ ТА ПРИСАДИБНИХ ГОСПОДАРСТВ

2019· article· uk· W2947917231 on OpenAlex
V. Borshch, O. Borshch, V. Khaniukov, Y. Oliinyk

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.

Bibliographic record

VenueСистеми управління навігації та зв’язку Збірник наукових праць · 2019
Typearticle
Languageuk
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

The production facilities of the modern park of industrial, farm and home incubators are analyzed; the basic technical problems of their design are determined. The imperfect equipment of domestic domestic and practical absence of farm incubators as well as their relatively high energy consumption significantly restrain the production of agricultural poultry production. On the basis of the analysis of the heat transfer equation through the walls of the enclosing structure of the incubator, the main factors that significantly affect the thermal energy loss are determined. The conclusion is made on the reduction of thermal losses by making the enclosure design of the incubator on the basis of modern heat-insulating materials and replacement of the electromechanical system of the rotation of the incubation material. The design of an original energy-efficient incubator, which can be made both in farm and household implements and used on small farms and farms, is described. For the automatic local and remote control of the microclimate of the incubator an "intelligent" automatic system is developed. The use of a personal computer in conjunction with the network of devices "TRC 02 Universal+" of domestic production allows representing the measured values of the parameters of the process of incubation in digital and graphical forms, as well as locally and remotely control the parameters. As a mechanism for inverting the incubation material, a tray with gravitational turning is used, which reduces electricity consumption and simplifies the process of turning the incubation material.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0050.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0130.030

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 head0.005
GPT teacher head0.180
Teacher spread0.176 · 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