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Record W2364743490

Forensic Medicine and Lunar Phases

2012· article· en· W2364743490 on OpenAlexaboutno aff
Bin Zhong

Bibliographic record

VenueJournal of North Sichuan Medical College · 2012
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsnot available
Fundersnot available
KeywordsNew moonFull moonQuarter (Canadian coin)AstrobiologyPerspective (graphical)Earth scienceGeologyDemographyHistoryAstronomyComputer sciencePhysicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In astronomy,lunar phases are indicated by the sun's reflected light on that luninated portion of the moon that can be seen from earth.This includes the new moon,first quarter,full moon,and last quarter lunar phases.The cycle period of 28 days is relatively steady.Growth rates of animals and plants change in different lunar phases.From the perspective of forensic medicine,reports about relationship between lunar phases and humans' aggression,accidents,and sudden death were reviewed in this paper,so that we could find out the chrono-biology rules of these events.The relationship between accidents,sudden death and lunar phases were suggested.Due to the different designs,methods,scopes,sample sizes,and years of research,there were different results as to the relationship between humans' aggressions and lunar phases.According to the research results from experimental animals,humans' endogenous hormones and behaviors should change by lunar phases were suggested.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0040.000

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 head0.041
GPT teacher head0.361
Teacher spread0.320 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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