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Univalent Harmonic Functions Starlike of the Complex Order Defined by Using Catas Operator

2020· article· lv· W3107380186 on OpenAlexaff
Osamah N. Kassar, Abdul Rahman S. Juma

Bibliographic record

VenueJournal of Physics Conference Series · 2020
Typearticle
Languagelv
FieldMathematics
TopicAnalytic and geometric function theory
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAlgorithmComputer science

Abstract

fetched live from OpenAlex

Abstract In this paper, we obtain known the class <?CDATA $T{U}_{H}^{* }(\gamma,\,n,\,\mu,\,l,\,\beta)$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block" overflow="scroll"> <mml:mrow> <mml:mi>T</mml:mi> <mml:msubsup> <mml:mi>U</mml:mi> <mml:mi>H</mml:mi> <mml:mo>*</mml:mo> </mml:msubsup> <mml:mo stretchy="false">(</mml:mo> <mml:mi>γ</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>n</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>μ</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>l</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>β</mml:mi> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> </mml:math> by working application of the Catas operator and we provide sufficient and necessary conditions for the functions to be in <?CDATA $T{U}_{H}^{* }(\gamma,\,n,\,\mu,\,l,\,\beta)$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block" overflow="scroll"> <mml:mrow> <mml:mi>T</mml:mi> <mml:msubsup> <mml:mi>U</mml:mi> <mml:mi>H</mml:mi> <mml:mo>*</mml:mo> </mml:msubsup> <mml:mo stretchy="false">(</mml:mo> <mml:mi>γ</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>n</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>μ</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>l</mml:mi> <mml:mo>,</mml:mo> <mml:mspace width="0.25em" /> <mml:mi>β</mml:mi> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> </mml:math> .

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.100
GPT teacher head0.277
Teacher spread0.177 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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