MétaCan
Menu
Back to cohort
Record W2735715539 · doi:10.1016/j.eupc.2005.08.182

The Resuscitation Outcomes Consortium (ROC): Purpose, Progress & Potential

2005· article· en· W2735715539 on OpenAlexaboutno aff
J. Powell, Alfred P. Hallstrom

Bibliographic record

VenueEP Europace · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypertonic salineResuscitationShock (circulatory)Emergency medicineIntensive care medicineAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

The ROC consists of 10 regional centers in the USA and Canada, funded primarily by NIH for the purpose of conducting definitive trials of resuscitation strategies/therapies for out-of-hospital cardiac arrest and life-threatening trauma. During the 1st year of funding the organizational infrastructure has been maturing (including processes for measuring CPR components) and several protocols developed, including a combined study of hypertonic saline for trauma populations (hypovolemic shock and traumatic brain injury), a study of the Impedence Threshold Device for cardiac arrest patients, and a registry of all serious emergent medical out-of-hospital events. Over the initial 5 years of funding, we estimate the ROC has the potential to improve survival following out-of-hospital cardiac arrest from 5% to 10% and to reduce morbidity and mortality following trauma by 10 to 25%.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.673

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)0.0000.001

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 head0.012
GPT teacher head0.293
Teacher spread0.281 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueEP EuropaceSame topicCardiac Arrest and ResuscitationFrench-language works237,207