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Record W2415496381 · doi:10.1097/hp.0000000000000383

Urgent Change Needed to Radiation Protection Policy

2016· article· en· W2415496381 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Physics · 2016
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsAdler
Fundersnot available
KeywordsIonizing radiationLimitingRadiation protectionMedical radiationRadiation exposureMedicineEnvironmental healthMedical physicsRisk analysis (engineering)BusinessNuclear medicinePhysicsIrradiationEngineering

Abstract

fetched live from OpenAlex

Although almost 120 y of medical experience and data exist on human exposure to ionizing radiation, advisory bodies and regulators claim there are still significant uncertainties about radiation health risks that require extreme precautions be taken. Decades of evidence led to recommendations in the 1920s for protecting radiologists by limiting their daily exposure. These were shown in later studies to decrease both their overall mortality and cancer mortality below those of unexposed groups. In the 1950s, without scientific evidence, the National Academy of Sciences Biological Effects of Atomic Radiation (BEAR) Committee and the NCRP recommended that the linear no-threshold (LNT) model be used to assess the risk of radiation-induced mutations in germ cells and the risk of cancer in somatic cells. This policy change was accepted by the regulators of every country without a thorough review of its basis. Because use of the LNT model has created extreme public fear of radiation, which impairs vital medical applications of low-dose radiation in diagnostics and therapy and blocks nuclear energy projects, it is time to change radiation protection policy back into line with the data.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.415

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)0.0000.000

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 head0.066
GPT teacher head0.368
Teacher spread0.302 · 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