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Record W2896161174 · doi:10.2478/mape-2018-0016

Measurement of Forces During the Extraction Process

2018· article· en· W2896161174 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.

Bibliographic record

VenueMultidisciplinary Aspects of Production Engineering · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMining and Industrial Processes
Canadian institutionsOntario Ministry of Labour
FundersSilesian University of Technology
KeywordsProcess (computing)DrumCartridgeConical surfaceCoal miningExtraction (chemistry)CertificationComputer scienceMechanical engineeringEngineering drawingEngineeringCoalWaste managementLaw

Abstract

fetched live from OpenAlex

Abstract The article briefly describes the factors affecting the workability of coal seams. Next, the construction and principle of operation of a globally unique device for determining the values of forces involved in the cutting process (coal extraction) named POU-BW/01-WAP by the author were presented. It is the only device in the world that determines two of the three component forces that are involved in the cutting process. To this end, two independent measuring blocks were used, which consist of tensometric force sensors: cutting (F s ) and pick downforce (F d ). To register these forces, a real pick was used, which is used in longwall drum shearers - a conical pick. The device has ATEX certification that allows working in real conditions, as a device intended for use in potentially explosive atmospheres - in accordance with Directive 94/9/EC. The instrument has received many awards at global inventiveness and innovative solution trade shows.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.149

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 head0.028
GPT teacher head0.250
Teacher spread0.222 · 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