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Record W1507058388 · doi:10.1007/bf03022535

Canadian guidelines for training in adult perioperative transesophageal echocardiographyRecommendations of the Cardiovascular Section of the Canadian Anesthesiologists’ Society and the Canadian Society of Echocardiography

2006· article· en· W1507058388 on OpenAlexaffabout
François Béı̈que, Mohamed Ali, Mark Hynes, Scott C. Mackenzie, André Denault, André Martineau, Charles MacAdams, Corey Sawchuk, Kristine Hirsch, Martin Lampa, Patricia A. Murphy, Georges Honos, Bradley Munt, Anthony Sanfilippo, Peter C. Duke

Bibliographic record

VenueCanadian Journal of Anesthesia/Journal canadien d anesthésie · 2006
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsProvidence Health CareUniversity of TorontoQueen Elizabeth II Health Sciences CentreHealth Sciences CentreCapital District Health AuthorityDalhousie UniversityToronto General HospitalMcMaster UniversityVancouver General HospitalKingston General HospitalUniversity of CalgaryUniversité LavalUniversité de MontréalSt. Boniface HospitalJewish General HospitalMcGill UniversityUniversity of OttawaFoothills Medical CentreUniversity of British ColumbiaMontreal Heart InstituteUniversity of ManitobaQueen's University
Fundersnot available
KeywordsPerioperativeMedicineAmerican society of anesthesiologistsCanadian Cardiovascular SocietyAnesthesiologyCompetence (human resources)Internal medicineGeneral surgeryIntensive care medicineRadiologySurgeryAnesthesiaManagement

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.030
GPT teacher head0.269
Teacher spread0.238 · 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.

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

Citations24
Published2006
Admission routes2
Has abstractno

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