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USCAP 2022 Abstracts: Dermatopathology (292-340)
Rhonda Yantiss Chair, Kristin Jensen Chair, Cme Subcommittee, Laura C. Collins, Yuri Fedoriw, Ilan Weinreb, Carla Chair, Adebowale Adeniran, Kimberly H. Allison, Sarah Dry, William C. Faquin, Karen Fritchie, Jennifer Gordetsky, Levon Katsakhyan, Pathologist-In-Training Melinda, J Lerwill, M Beatriz, Susana Lopes, Julia Naso, Pathologist-In-Training Liron, Pantanowitz Carlos, Parra-Herran Rajiv, Milan Patel, Matt Quick, David J. Schaeffer, Lynette M. Sholl, Olga K. Weinberg, Maria Westerhoff, Benjamin Adam, Oyedele Adeyi, Mariam P. Alexander, Daniela Allende, Catalina Amador, Vijayalakshmi Ananthanarayanan, Tatjana Antic, Manju Aron, Roberto Barrios, Gregory Bean Govind, B Gonzalez Luis, Zabala Blanco, Michael Bonert, Alain Borczuk, Tamar Brandler, Eric Burks, Kelly J. Butnor, Sarah Calkins, Weibiao Cao, Cao Barbara, Ann Centeno, Joanna Sy, Chan Kung-Chao, Hao Chang, Chen Chen, Yunn‐Yi Chen, Sarah Chiang, Soo‐Jin Cho, Shefali Chopra, Nicole A. Cipriani, Cecilia Clement, Claudiu Cotta, Jennifer Cotter, Sonika Dahiya, Elizabeth G. Demicco, Katie Dennis, Jasreman Dhillon, Anand S. Dighe, Bojana Djordjevic, Michelle R. Downes, Charles G. Eberhart, Andrew Evans, Fang Fan, Julie C. Fanburg–Smith, Gelareh Farshid, Michael Feely, Susan Fineberg, Dennis Firchau, Gregory A. Fishbein, Agnes B. Fogo, Andrew L. Folpe, Danielle Fortuna, Billie Fyfe-Kirschner, Zeina Ghorab, Giovanna A. Giannico, Anthony J. Gill, Tamar Giorgadze, Alessio Giubellino, Carolyn Glass, Carmen Gomez‐Fernandez, Shunyou Gong, Purva Gopal, Abha Goyal, Christopher C. Griffith, Ian S. Hagemann, Gillian Leigh, Hale Suntrea, Thomas Hammer, Malini Harigopal, Kammi Henriksen, Jonas J. Heymann, Carlo Hojilla, Aaron R. Huber, Jabed Iqbal, Shilpa Jain, Vickie Y. Jo, Ivy John, Dan Jones, Ridas Juskevicius, Meghan Kapp, Nora Katabi, Francesca Khani, Joseph D. Khoury, Benjamin R. Kipp, Veronica Klepeis, Christian A. Kunder, Stefano La, Rosa Stephen, M Lagana, Keith Lai, Goo Lee, Michael Lee, Vasiliki Leventaki, Madelyn Lew, Faqian Li, Ying Li, Chieh‐Yu Lin, Mikhail Lisovsky, Lesley Lomo, Fang‐I Lu, M Chaudhari Varsha, Manucha Rachel, Angelica Mariani, Brock Aaron, Martin David, S Mcclintock, Anne Mills, Prokopios P. Argyris, Jordan A. Naumann, Kyu Young Song, Ioannis Koutlas, Reuben S. Harris, Kimon V. Argyropoulos, Kelsey Zhu, Theodore Vougiouklakis, Randie H. Kim, Konstantinos Linos, Maria Angelica Selim, Rami N. Al‐Rohil, Jennifer Crimmins, George Jour, Phyu P. Aung, Pavandeep Gill, Zongshan Lai, Varshini Vasudevaraja, Doina Ivan, Priya Nagarajan, Woo Cheal Cho, Leomar Y. Ballester, Jonathan L. Curry, Carlos A. Torres‐Cabala, Víctor G. Prieto, Ivan Doina, N S Priya, C.Y. Woo, Monica Bronte, Javier Montero, Alba Larrea, C. Alonso Cerezo, Yessica Rodriguez, Rosa Guarch, Marta Montes, Yerani Ruiz De Azúa, Gregorio Aisa, Alicia Córdoba, Grant M. Fischer, Neal I. Lindeman, Eleanor Russell‐Goldman
Bibliographic record
VenueLaboratory Investigation · 2022
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsRoyal Jubilee Hospital
Fundersnot available
KeywordsDermatopathologyBiologyMedicineDermatology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 head0.010
GPT teacher head0.234
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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
Published2022
Admission routes1
Has abstractno