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Record W2320168082 · doi:10.5978/islsm.16-ed-01

<i>LASER THERAPY</i> HAS REACHED HER VOLUME QUARTER CENTURY!

2016· article· en· W2320168082 on OpenAlexaboutno aff
Toshio Ohshiro

Bibliographic record

VenueLASER THERAPY · 2016
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)HistoryPoetryClassicsMedicineArt historyLiteratureArtArchaeology

Abstract

fetched live from OpenAlex

Welcome. Dear Readers, to the first issue of Volume 25 of the journal! As I write this, we are well into the Year of the Monkey, spring is around the corner, and the windy but decreasingly cold days of March will soon give way to the warmer days of April, at least in the Northern Hemisphere: for those of you ‘down south’, summer is gradually giving way to autumn. For us all, however, it's a season of transition. But wherever you are, a very warm welcome from the Laser Therapy Editorial Team to the first issue of the 25th volume of our journal as we proudly reach our quarter century marked by this 25th volume, since the first issues appeared back in 1988! While we should always be looking forward, we must never forget to look back, and remember the lessons learned from our teachers and friends who are no longer with us. It's hard for me to believe that we lost our mentor and Poet Extraordinary, the late Professor Isaac Kaplan, some 4 years ago. One of his poetic gems, enshrined in our former Kaplan's Corner, was penned to mark the publication of Issue 1 of Volume 21 of the journal. I am sure, had he been with us today, he would have risen to the occasion and saluted our reaching the volume quarter century in verse. With nostalgia, here is what Prof Kaplan had to say about our journal before his untimely death later in the same year: ON ENTERING THE THIRD DECADE LASER THERAPY has entered its third decade, And its name as a medical journal has been made. To its editor in chief congratulations are due, For what he has managed to do. Of lasers in medicine and surgery, it covers all fields, And there is no limit to the information it yields. Anyone in the field who has something to say, To do so through this journal, there is no better way. The fact that it caters for clinical reports, As well as research ones of all sorts, Makes the journal one of its kind, And the best that laser personnel can find. As long as the societies it represents last, Its future will be as bright as its past So, its readers will continue to benefit by its existence While its contributors will be encouraged to show persistence. And so, to the editors we all appeal, Continue to produce the journal with the same zeal. Because, you can be proud of what you've achieved to date, And, for future issues we can hardly wait. 'Cause we are sure that Prof. Ohshiro on his laurels won't rest, And, like in the past, in the future, he will still do his best. Isaac Kaplan, Tel Aviv, February 2012

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0070.002

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 head0.023
GPT teacher head0.268
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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