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Record W4383099037 · doi:10.1007/978-3-031-37189-9

Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries

2023· book· en· W4383099037 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCommunications in computer and information science · 2023
Typebook
Languageen
FieldEngineering
Topic3D Modeling in Geospatial Applications
Canadian institutionsnot available
FundersUniversità degli Studi di BresciaSyddansk UniversitetTechnion-Israel Institute of TechnologyUniversidade Federal de Juiz de ForaUniversidade do PortoTallinna TehnikaülikoolNottingham Trent Universityİzmir Yüksek Teknoloji EnstitüsüUniversity of Southern CaliforniaTrent UniversityUniversity of East LondonUniversity of ThessalyUniversité de LiègeTechnische Universiteit DelftAarhus UniversitetUniversidade do MinhoEidgenössische Technische Hochschule ZürichRMIT UniversityMassachusetts Institute of TechnologyTechnische Universität MünchenKU Leuven
KeywordsFutures contractComputer scienceArchitectural designArchitectural engineeringArchitectureSystems engineeringData scienceHuman–computer interactionEngineeringVisual artsBusinessArt

Abstract

fetched live from OpenAlex

CAAD Futures 2023 proceedings on support systems for design decisions, tools, methods and implementation of urban design, and rethinking spatial behavior.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.001
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 head0.034
GPT teacher head0.286
Teacher spread0.252 · 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