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Record W2071143682 · doi:10.13181/mji.v9i2.663

Prevalence study of sun protection behaviors/practices in several representative population samples in Indonesia

2000· article· en· W2071143682 on OpenAlexfundno aff
Yoshiyuki Ohno, Joedo Prihartono, Masamitsu Ichihashi, Setyawati Budiningsih, Mochtar Hamzah, Santoso Cornain, Masato Ueda, Mpu Kanoko, Evert Poetiray, Nobuo Munakata, Herman Cipto, Achmad Tjarta, Arman Mukhtar

Bibliographic record

VenueMedical Journal of Indonesia · 2000
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
FundersFakultas Kedokteran, Universitas IndonesiaUniversitas IndonesiaTerry Fox FoundationMinistry of Education, Culture, Sports, Science and Technology
KeywordsSun protectionGeographyPopulationEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Non-melanoma skin cancer (NMSC) is the most common type of cancer in white population, and its incidence has increased worldwide over the last few decades.r-a This increasing trend might be in part ascribed to such recently changed environmental and socio-cultural conditions as depletion of the atmospheric ozone layer, increasing aged population (in developed countries in particular), increasing outdoor recreational activities at shadeless sites, increasing concem about NMSC among the public at large which resulted in much earlier hospital visits, and earlier diagnosis/ recognition by medical professionals who have become more aware of NMSC.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.366
Teacher spread0.316 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2000
Admission routes1
Has abstractyes

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