MétaCan
Menu
Back to cohort
Record W2369919435

Research on Development and Application of Gene Chip in Diagnostic Microbiology

2015· article· en· W2369919435 on OpenAlexaff
Tian Mei-hu

Bibliographic record

VenueHeilongjiang nongye kexue · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsScience North
Fundersnot available
KeywordsBiotechnologyGeneChipGene technologyComputational biologyBiologyEngineeringGeneticsTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

In recent years,gene chip technology had rapidly developed and also been widely applied,therefore it was regarded as a revolution in science and technology.The application of gene chip in pathogenic microorganism-caused diseases diagnosis had been made the breakthrough as well,and it would become an effective technical means in some complex diagnosis and treatment.The development of the gene chip and its application in the diagnosis of microbiology were reviewed,and the problems in clinic application were pointed out.The results concluded that the lack of genome sequence and the patent issues were the main limit factors in the technique development as a suggestion for the future improvement.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.550

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 head0.043
GPT teacher head0.316
Teacher spread0.273 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueHeilongjiang nongye kexueSame topicBacteriophages and microbial interactionsFrench-language works237,207