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Record W2038008646 · doi:10.1002/asia.201100438

The Chemical Society of Japan in the International Year of Chemistry

2011· article· en· W2038008646 on OpenAlexaboutno aff
Nobuyuki Kawashima

Bibliographic record

VenueChemistry - An Asian Journal · 2011
Typearticle
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary sciencePolitical scienceChemistryMedia studiesSociology

Abstract

fetched live from OpenAlex

The Chemical Society of Japan (CSJ), which has about 31,000 members, was founded in 1878 and is one of the oldest learned societies in Japan.Its activities cover a wide spectrum, numbering about 100 committees or subcommittees covering various topics.The society has seven branches, dividing the country into seven areas.The society has five Divisions and 21 e-Divisions which cover different fields of chemistry.CSJs academic meetings consist of the annual meeting conducted by the head office and regional meetings by branches and Division Meetings.The annual meeting generally attracts more than 6,000 papers and 8,000 participants.For academiaindustry exchange we established the Advanced Technology Program at the annual meeting, where the most recent achievements in industry can be presented.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0990.067

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 head0.023
GPT teacher head0.250
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2011
Admission routes1
Has abstractyes

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