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Record W1856463315 · doi:10.1714/1311.14486

10.1714/1311.14486

2000· article· en· W1856463315 on OpenAlexvenueno aff
Sonia Albanese, Valentina Sellaroni, Sabrina Montis, Giulio Calcagni, Anwar Baban, Francesco Santoro, Giacomo Pongiglione, Maria Pia Calabrò

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMultidisciplinary approachInformed consentCardiac surgeryCLARITYInterventional cardiologyCardiac catheterizationIntensive care medicinePediatric surgeryMultidisciplinary teamGeneral surgerySurgeryAlternative medicineNursingPathology

Abstract

fetched live from OpenAlex

BACKGROUND: A multidisciplinary study group was established to review and approve the informed consent froms in Pediatric Cardiology and Cardiac Surgery. METHODS: The work was carried out in several stages, starting with an analysis of what was already in use in several Italian Centers. Subsequently, shared forms for pediatric cardiac surgery and interventional catheterization procedures were developed, pointing to clarity of information, prediction of therapeutic options, quantification for verbal categories of risk associated with cardiac surgery procedures, and provision of information also to young patients. RESULTS: Two versions of informed consent for pediatric cardiac surgery and pediatric interventional catheterization procedures were developed. CONCLUSION: The work oerformed by the multidisciplinary study group, under the supervision of the Italian Society of Pediatric Cardiology and the Section of Surgery for Congenital Heart Disease of the Italian Society for Cardiac Surgery, resulted in a clear and evolutionary summary of the relationship between available therapeutic options and the patient needs to understand and share the healthcare pathway in terms of risk and perspectives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9530.932

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 head0.008
GPT teacher head0.217
Teacher spread0.210 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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