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Record W49093681 · doi:10.2310/7750.2013.13006

Preparing for Subsequent Entry Biologies in Dermatology and Rheumatology in Canada

2013· article· en· W49093681 on OpenAlexafffundabout
Kim Papp, Marc Bourcier, Vincent Ho, Karen Burke, Boulos Haraoui

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsProbity Medical ResearchAmgen (Canada)Centre Hospitalier de l’Université de MontréalMoncton HospitalUniversity of British Columbia
FundersHealth Canada
KeywordsMedicineAuthorizationDeclarationMarketing authorizationAgency (philosophy)Alternative medicinePrior authorizationClinical trialFamily medicinePathologyPharmacologyBioinformaticsLaw

Abstract

fetched live from OpenAlex

BACKGROUND: Patents on several biologics will expire in Canada in the coming years. As they expire, applications to market subsequent entry biologics (SEBs) may be filed in Canada. OBJECTIVE: To provide an understanding of the regulatory pathway and types of trials used for SEB authorization in Canada. METHODS: Health Canada's draft guidance on SEBs was reviewed in regards to key issues and challenges in the development and authorization of SEBs. RESULTS: Health Canada states that SEBs are not "generic biologics" and their authorization is not a declaration of pharmaceutical or therapeutic equivalence to the originator. The agency recommends that physicians make well-informed decisions regarding therapeutic interchange. CONCLUSIONS: Decisions on how to determine the place of SEBs in clinical practice for biologic-naive patients and those already receiving biologics should be made on a case-by-case basis, considering the patient's needs, the characteristics of the biologic required, and the clinical development programs of the applicable SEB.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.529
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.022
GPT teacher head0.261
Teacher spread0.239 · 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

Citations4
Published2013
Admission routes3
Has abstractyes

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