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Record W15503412 · doi:10.3201/eid1009.040117

Command and Control for Homeland Security

2007· article· en· W15503412 on OpenAlexaboutno aff
Marjorie Greene

Bibliographic record

VenueEmerging infectious diseases · 2007
Typearticle
Languageen
FieldMathematics
TopicCOVID-19 epidemiological studies
Canadian institutionsnot available
Fundersnot available
KeywordsHomeland securitySociotechnical systemCommand and controlComputer securityHierarchyInformation exchangeInformation sharingSomaliHomelandComputer scienceOperations researchPolitical scienceEngineeringTelecommunicationsTerrorismKnowledge managementLawWorld Wide Web

Abstract

fetched live from OpenAlex

Partial contents: ProMED-mail, The Strategic Vision, The Detection of Emerging Infections Using An Epidemiologic Surveillance System, DHS Secretary established NIMS March 2004, INFORMS MAS Conference on Homeland Security June 2006, NIMS Revision Version 2 March 2007, NWDC Domestic Disaster Relief Operations Planning, 15 May 2006, AFRL-Supported Studies on Large- Scale Coordination, A Sociotechnical Systems Analysis of the Toronto SARS Outbreak, Vertical Integration, Vertical Integration in a Military Command Hierarchy, Information flows for a domestic incident, C2 for Homeland Security will benefit from information flow analyses by the MORS community, Remarks by Adm. Mike Mullen 14 June 2006, Characteristics of Information Sharing During Crises, Automated Classification of a Reference-Connected Set.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.062
GPT teacher head0.390
Teacher spread0.329 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2007
Admission routes1
Has abstractyes

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