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Record W2124550659 · doi:10.1017/s1431927606160353

Welcome from the Society Presidents

2006· article· en· W2124550659 on OpenAlexaboutno aff
Jay Jerome, Raynald Gauvin, Dennis W. Hetzner, Gianluigi A. Botton

Bibliographic record

VenueMicroscopy and Microanalysis · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Library sciencePolitical scienceEngineeringEngineering ethicsNanotechnologyComputer scienceMaterials scienceMedicine

Abstract

fetched live from OpenAlex

WELCOME! On behalf of the Microscopy Society of America (MSA), the Microbeam Analysis Society (MAS), the International Metallographic Society (IMS), and the Microscopy Society of Canada/Société de Microscopie du Canada (MSC/SMC), we invite scientists throughout the world who develop and use microscopy to the jointly-sponsored Microscopy and Microanalysis 2006 meeting in Chicago, Illinois. The meeting will take place from July 30 through August 3, 2006. The venue for the meeting is the exciting, and popular Navy Pier. The Program Committee, chaired by Paul Kotula, has arranged a unique series of symposia and tutorials covering both instrumentation and applications development as well as sessions illustrating the practical uses of these developments in the biological and physical sciences. As you look through this booklet, we think you will agree that the Program Committee has put together a program that will excite microscopists in all fields. The program features two named Symposia. The first will be on “Cell Biology and Microscopy” and is dedicated to the memory of Hans Ris and the second will cover “Quantitative X-ray Microanalysis” and honors Art Chodos. The program also has sessions celebrating the 50th Anniversary of the Observation of Dislocations and the 50th Anniversary of X-ray Mapping. Of course, an essential aspect of the scientific program is your vital contributed paper! We encourage you to contribute your work for presentation as part of this exciting program.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.388
Threshold uncertainty score0.873

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0130.005
Open science0.0010.007
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.3880.422

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 head0.251
Teacher spread0.247 · 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.

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
Published2006
Admission routes1
Has abstractyes

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