Proceedings from the Consensus Conference on Trauma Patient-Reported Outcome Measures
Bibliographic record
Abstract
Sakran, Joseph V. MD, MPH, MPA, FACS; Ezzeddine, Hiba MD; Schwab, William C. MD, FACS; Bonne, Stephanie MD, FACS; Brasel, Karen J. MD, MPH, FACS; Burd, Randall S. MD, PhD, FACS; Cuschieri, Joseph MD, FACS; Ficke, James MD, FACS; Gaines, Barbara A. MD, FACS; Giacino, Joseph T. PhD; Gibran, Nicole S. MD, FACS; Haider, Adil MD, MPH, FACS; Hall, Erin C. MD, FACS; Herrera-Escobar, Juan P. MD, MPH; Joseph, Bellal MD, FACS; Kao, Lillian MD, FACS; Kurowski, Brad G. MD, MS, FACS; Livingston, David MD, FACS; Mandell, Samuel P. MD, MPH, FACS; Nehra, Deepika MD, FACS; Sarani, Babak MD, FACS; Seamon, Mark MD, FACS; Yonclas, Peter MD; Zarzaur, Ben MD, MPH, FACS; Stewart, Ronald MD, FACS; Bulger, Eileen MD, FACS; Nathens, Avery B. MD, MPH, PhD, FACS; Amtmann, Dagmar PhD; Bixby, Pam; Brighton, Brian MD, MPH; Burstin, Helen MD, MPH; Burns, Chris MD, FACS; Caldwell, Michelle; Chaney, Eric; Chung, Kevin MD, FCCM, FACP; Cipolle, Mark MD, PhD, MS; deRoon-Cassine, Terri MS, PhD; Dicker, Rochelle MD, FACS; Fallat, Mary E. MD, FACS; Gabbe, Belinda MAppSc, BPhysio, PhD, NHMRC CDF; Gfeller, Bob Jr. MBA; Gioia, Gerard PhD; Haut, Elliott MD, PhD; Hendrix, Jason; Hoeft, Chris; Hotz, Heidi RN; Keavany, Kathleen MHA; Levy-Carrick, Nomi MD, MPHIL; Manley, Geoffrey T. MD, PhD; Michetti, Christopher MD, FACS; Miller, Anna MD, FACS; Miller, Cate PhD; Morris, David S. MD, FACS; Naik-Mathuria, Bindi J. MD, MPH; Neal, Melanie; Patel, Bhavin; Newgard, Craig MD, MPH; Nitzschke, Stephanie MD, FACS; Okonkwo, David O. MD, PhD; Polk, Travis MD, FACS; Price, Michelle PhD, Med; Rivara, Fred MD, MPH; Sochor, Mark MD, MS, FACEP; Stein, Deb MD, MPH, FACS, FCCM; Subacius, Haris; Taylor, Gerry H. PhD; Thomas, William III; Wagner, Amy MD; Winfield, Rob MD, FACS; Zatzick, Douglas F. MD; Zielinski, Martin D. MD, FACS The Patient Reported Outcome Consortium Author Information
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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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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.
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.
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".