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Record W2326004551

Study on the Financial Aspect of an Integrated Clinical Course of Dentistry

2012· article· en· W2326004551 on OpenAlexaboutno aff
Fabiano Sant ́Ana Santos, W. A. Almeida, Fábio Luiz Ferreira Scannavino, Alex Tadeu Martins, Ana C. Eiras, Juliana M. H. Moritsugu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCompensation (psychology)Medical recordFinancial compensationSpecialtyMedicineDentistryFinanceWork (physics)Family medicineMedical educationBusinessPsychologyEngineeringSurgery
DOInot available

Abstract

fetched live from OpenAlex

Objective: to examine the reasons for patients to ask for financial compensation for treatments performed in the Clinical Course of Dentistry of the University Center of the Educational Foundation of Barrie (UNIFEB), Sao Paulo, Brazil. Material and methods: We performed a survey in the medical records involving financial costs on dental procedures performed in the disciplines of Integrated Clinics. Two hundred medical records involving dental procedures cost framed in the study. These records were collected from dental procedures carried out and request for financial compensation. Results: the total number of records collected in the dental clinic, 16 (8%) patients asked for financial compensation. All had the dental records as the predominant specialty of patients in the request for financial compensation. The reasons for requesting the users of financial remedies was predominantly concentrated in breach of the term of completion of the prosthetic work 6 (37%), changes in treatment

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.263
GPT teacher head0.579
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), 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
Published2012
Admission routes1
Has abstractyes

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