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Record W4236298977 · doi:10.1002/9781118914670.ch4

Model Formulation

2017· other· en· W4236298977 on OpenAlexaff
Simant R. Upreti

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicThermoelastic and Magnetoelastic Phenomena
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBoundary value problemRobin boundary conditionNeumann boundary conditionMixed boundary conditionCauchy boundary conditionMathematicsDirichlet boundary conditionMathematical analysisBoundary conditions in CFDCartesian coordinate systemInitial value problemVariable (mathematics)Applied mathematicsGeometry

Abstract

fetched live from OpenAlex

This chapter presents the formulation of process models, which involves carrying out description of objectives, specification of system, laying out of assumptions, interrelation of system properties, and consolidation of resulting equations. It includes the formulation of models incorporating mass, momentum and energy balances in lumped-parameter systems. The chapter determines species concentrations in the system by using mole balances in the presence of chemical reactions. It illustrates model formulation in distributed-parameter systems in Cartesian, cylindrical and spherical coordinates. The chapter applies the equation of change for temperature to determine the temperature of liquified gas, metal wall, and insulation layer. Boundary condition is the requirement that must be satisfied by the dependent variable at a terminal value of the independent variable. Boundary conditions can be classified into: Dirichlet boundary condition, Neumann boundary condition, Robin boundary condition, Mixed boundary condition, and Cauchy boundary condition.

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)0.001
metaresearch head score (Gemma)0.002
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: Methods · Consensus signal: Methods
Teacher disagreement score0.038
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0380.010

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 head0.015
GPT teacher head0.209
Teacher spread0.194 · 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
GenreMethods

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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