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Record W2001319303 · doi:10.1145/638750.638771

On the Latest Development in Cognitive Informatics

2003· article· en· W2001319303 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACM SIGSOFT Software Engineering Notes · 2003
Typearticle
Languageen
FieldComputer Science
TopicCognitive Computing and Networks
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEngineering informaticsInformaticsBusiness informaticsComputer scienceCognitive computingCognitionData scienceHealth Administration InformaticsCognitive ergonomicsDomain (mathematical analysis)Health informaticsCognitive scienceSoftware engineeringKnowledge managementEngineeringPsychologyMedicine

Abstract

fetched live from OpenAlex

Cognitive informatics is a cutting-edge and profound interdisciplinary research area that tackles the common root problems and foundations of modern informatics, computation, software engineering, AI, and life sciences. Cognitive informatics is a new frontier that studies internal information processing mechanisms and processes of the brain, and their engineering applications in computing, software, and IT industries. The functional architecture of the brain and the natural intelligence of the mind are the last domain yet to be explored in cognitive informatics.This article reports the latest development at the First IEEE International Conference on Cognitive Informatics (ICCI '02). This report intends to draw attention of researchers, practitioners and graduate students on the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the collaborative international effort on cognitive informatics research and engineering applications.

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)0.000
metaresearch head score (Gemma)0.092
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.227
Teacher spread0.205 · 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