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Record W3185456699 · doi:10.17107/kh.2021.22.337-342

In memoriam PD Dr. Dr. h.c. Iván Kiss (1945-2017)

2021· article· en· W3185456699 on OpenAlexaboutno aff
József Makoviczky

Bibliographic record

VenueKaleidoscope History · 2021
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsKISS (TNC)AnesthesiologyPain medicineGermanMedicineUniversity hospitalFamily medicineHistoryPsychiatry

Abstract

fetched live from OpenAlex

Iván Kiss was born in the South-Hungarian town Pécs in 1945. He studied at the University Medical School, Pécs between 1963-1969. After a specialisation in pathology, he qualified also in anesthesiology at the Postgraduate Medical Institute, Budapest. After leaving Hungary in 1977 he gained a position at the University Hospital, Freiburg, Germany, soon appointed as head of the anesthesiology unit. In 1987 he attained the “Doctor Medicinae Habilitatus” degree upon his thesis on cancer pain. Later this work was partly published in “Pain, 29: 195-207 1997” the leading journal of the subject with the title “The McGill Pain Questionnaire - German version. A study on cancer pain”. In 1989 he moved to Essen for holding the job of the chief anesthesiologist at the Krupp-Clinic. By that time, he was acknowledged as an internationally recognized expert in anaesthesiology and pain therapy. His expertise was honoured by the „Doctor honoris causa” title at the Semmelweis University, Budapest in 1999. Dr. med. habil. Iván Kiss died on November 29, 2017. In his person, we lost a colleague and friend, a devoted teacher and researcher, and a committed clinician. We keep him in our memories as a real Paragon of the medical vocation.

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 categoriesInsufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0040.001

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 head0.031
GPT teacher head0.270
Teacher spread0.239 · 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
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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