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Record W4386037217 · doi:10.5114/for.2023.130175

Agenesis of permanent canines – observation carried out on own material. Clinical aspects

2023· article· en· W4386037217 on OpenAlexaboutno aff
Jolanta Jarka, Adam Mieczysław Angerman

Bibliographic record

VenueOrthodontic Forum · 2023
Typearticle
Languageen
FieldMedicine
TopicTumors and Oncological Cases
Canadian institutionsnot available
Fundersnot available
KeywordsAgenesisMedicineDentistrySurgery

Abstract

fetched live from OpenAlex

AMA Jarka J, Angerman A. Agenesis of permanent canines – observation carried out on own material. Clinical aspects. Forum Ortodontyczne / Orthodontic Forum. 2023;19(1):7-25. doi:10.5114/for.2023.130175. APA Jarka, J., & Angerman, A. (2023). Agenesis of permanent canines – observation carried out on own material. Clinical aspects. Forum Ortodontyczne / Orthodontic Forum, 19(1), 7-25. https://doi.org/10.5114/for.2023.130175 Chicago Jarka, Jolanta, and Adam Mieczysław Angerman. 2023. "Agenesis of permanent canines – observation carried out on own material. Clinical aspects". Forum Ortodontyczne / Orthodontic Forum 19 (1): 7-25. doi:10.5114/for.2023.130175. Harvard Jarka, J., and Angerman, A. (2023). Agenesis of permanent canines – observation carried out on own material. Clinical aspects. Forum Ortodontyczne / Orthodontic Forum, 19(1), pp.7-25. https://doi.org/10.5114/for.2023.130175 MLA Jarka, Jolanta et al. "Agenesis of permanent canines – observation carried out on own material. Clinical aspects." Forum Ortodontyczne / Orthodontic Forum, vol. 19, no. 1, 2023, pp. 7-25. doi:10.5114/for.2023.130175. Vancouver Jarka J, Angerman A. Agenesis of permanent canines – observation carried out on own material. Clinical aspects. Forum Ortodontyczne / Orthodontic Forum. 2023;19(1):7-25. doi:10.5114/for.2023.130175.

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 score0.039
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.135
GPT teacher head0.384
Teacher spread0.249 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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