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Record W2619109128 · doi:10.5539/apr.v9n3p40

Trigonometric Functions at a Crossroads

2017· article· en· W2619109128 on OpenAlexvenueno aff
Jiřı́ Stávek

Bibliographic record

VenueApplied Physics Research · 2017
Typearticle
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTrigonometryAlice and BobInterpretation (philosophy)History of physicsEinsteinComputer scienceCalculus (dental)Mathematical economicsMathematicsTheoretical physicsPhysicsMathematical physicsMathematical analysisAlice (programming language)Programming language

Abstract

fetched live from OpenAlex

In the history of physics trigonometric functions played several times a very critical role at crossroads. This time we are at a crossroads with the interpretation of correlation events of entangled particles. In this approach we propose to describe the experimental data of Alice and Bob using not so known trigonometric functions. Claudius Theorem (based on the trigonometric family of Sagitta and Cosagitta) evalutes the probabilistic occurrence of correlated and anticorrelated events. David Theorem (based on the trigonometric family of Hacoversine) describes the probability of the following identical events and gaps between the following identical events. In this trigonometric concept the Team of Alice, Bob, Claudius and David formulated a camouflage legend for Eve – “spooky action at a distance”. Merlin (with unbounded computational ability) should verify the truth of this statement. Trent (a trusted arbitrator, who acts as a neutral third party) should analyze these data and this trigonometric concept. Victor (a verifier) should make his decision which way we should continue in our future research: either through the Niels Bohr avenue or through the Albert Einstein sidewalk.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.015
Scholarly communication0.0050.014
Open science0.0010.003
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0070.004

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 head0.143
GPT teacher head0.405
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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