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Record W2889309405

UJI DIAGNOSTIK TORONTO CLINICAL SCORING SYSTEM TERHADAP DIAGNOSIS NEUROPATI PERIFER TERINDUKSI KEMOTERAPI

2014· article· id· W2889309405 on OpenAlexaboutno aff
Aldy Novriansyah, Manfaluthy Hakim, Aru Wicaksono Sudoyo, Tiara Aninditha, Herqutanto Herqutanto

Bibliographic record

VenueNeurona (Majalah Kedokteran Neuro Sains Perhimpunan Dokter Spesialis Saraf Indonesia) · 2014
Typearticle
Languageid
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChemotherapy-induced peripheral neuropathyPeripheral neuropathyChemotherapyOncologyAdverse effectIntensive care medicineInternal medicinePhysical therapyDiabetes mellitus
DOInot available

Abstract

fetched live from OpenAlex

Chemotherapy-induced peripheral neuropathy (CIPN) is an adverse effect of neurotoxic chemotherapy that decrease the patient?s quality of life and obstruct the provision of optimal chemotherapy. Early detection is needed by a simple screening tool thathas a near accuracy to electroneurography (ENG) as the gold standard for the diagnosis of neuropathy. The Toronto clinical scoring system (TCSS) is aneasy and superior tool for diabetic neuropathyscreening. Similarity between diabetic neuropathy and CIPN?s clinical picture could make the TCSS as a screening tool for CIPN

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.319
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueNeurona (Majalah Kedokteran Neuro Sains Perhimpunan Dokter Spesialis Saraf Indonesia)Same topicCancer Treatment and PharmacologyFrench-language works237,207