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Record W17649846 · doi:10.1556/maseb.60.2007.2.1

About Local Calibration Curve of the Black Sea during the Period 18000 - 3000 Calendar Years BP

2002· article· en· W17649846 on OpenAlexaboutno aff
Krasimira Slavova

Bibliographic record

VenueDokladi na B lgarskata akademiâ na naukite · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)CalibrationGeographyGeologyClimatologyEnvironmental scienceMathematicsStatisticsArt

Abstract

fetched live from OpenAlex

The aetiology of pathologic scarring is unknown today regarding the keloids. The authors have analyzed the literature and own experience retrospectively according to the evidence based treatments and prevention of the hypertrophic and keloid scars. The corticosteroids have been used intralesionally since the beginning of the 1960-ies. It was followed by the pressure garment therapy in order to treat the widespread burns scars in the early 1970-ies. The silicone gel sheeting is being used since the 1980-ies. The basic treatment of keloids changed, radiotherapy was combined with the above mentioned methods because of its high recurrence rate. Newer methods, cryosurgery as well as lasers were used to treat keloids. The number of effective topical agents was increased. The researchers have been looking for other, intralesionally usable medicine and genetic causes for more than ten years. The clinicians have had the standard protocols of the adjunct and alternative methods too. After having the standard and internationally accepted scar assessment system (Vancouver-scar scale and score), the controlled, randomized trials were practicable. The prospective evaluation of the efficacy of different protocols with adequate follow-up became performable. The comparison of different methods is difficult because of the lack of its standard outcome.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.177
Teacher spread0.167 · 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.

Study designObservational
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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

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