MétaCan
Menu
Back to cohort
Record W4386816348 · doi:10.23977/jemm.2023.080310

Design of an Automatic Packaging Machine for Syringes

2023· article· en· W4386816348 on OpenAlexvenueno aff
Hao Tan, X.P. Li

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2023
Typearticle
Languageen
FieldEngineering
TopicEmbedded Systems and FPGA Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSyringeMechanical engineeringEngineeringEngineering drawingComputer science

Abstract

fetched live from OpenAlex

The 5ml syringe automatic packaging machine designed in this paper is mainly composed of mechanical structure and control system. The machine is based on the traditional vertical packaging machine, syringe automatic packaging machine can complete the syringe from the clutter of syringes to achieve a single sequential packaging, can achieve the whole process from feeding, film forming, and then the bag heat sealing, shear. The feeding is achieved by vibrating discs, the heat sealing device is controlled by a cylinder heat sealing jig to seal the plastic film longitudinally and horizontally, and the serrated blade is used to cut, the whole machine is compact and easy to install and manipulate. The packaging machine is highly automated, the user only needs to put the syringe into the vibrating plate, through the machine's servo control, can achieve a key start, but also through the adjustment of the software parameters to achieve control of the syringe packaging speed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Engineering Mechanics and MachinerySame topicEmbedded Systems and FPGA ApplicationsFrench-language works237,207