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A Bi-Modal Microsimulation Tool for the Assessment of Pedestrian Delays and Traffic Management 1

2000· article· en· W415705 on OpenAlexaboutno aff
Ronghui Liu, Pedro Cruz da Silva, Junior, Álvaro Seco

Bibliographic record

VenueArchives of Neurology · 2000
Typearticle
Languageen
FieldEngineering
TopicTraffic control and management
Canadian institutionsnot available
Fundersnot available
KeywordsMicrosimulationPedestrianModalComputer scienceTransport engineeringEngineering

Abstract

fetched live from OpenAlex

Survival and factors affecting survival were studied in 1,484 new cases of acute definite stroke occurring between Jan 1, 1970, and June 30, 1971, in Manitoba. The 962 infarctions, 279 hemorrhages, and 243 unidentified strokes were ascertained from hospital claim reports. Personal, clinical, and laboratory data were collected from hospital medical records, death certificates, and autopsy reports. Cases were followed up until Dec 31, 1973, to determine survival. Survival was significantly better in infarction than in hemorrhage, in subarachnoid hemorrhage than in intracerebral hemorrhage, in men than in women, in the young than in the old, in the married than in the single, in hemorrhage cases from rural areas than from urban areas, and in those discharged home than in those transferred to long-term care hospitals. These data may help in predicting the outcome of stroke and in planning for more efficient care.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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 designSimulation or modeling
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

Citations15
Published2000
Admission routes1
Has abstractyes

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