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Correction: Common Data Elements for Disorders of Consciousness: Recommendations from the Electrophysiology Working Group
Elizabeth Carroll, Caroline Der‐Nigoghossian, Ayham Alkhachroum, Brian Appavu, Emily J. Gilmore, Julie Kromm, Benjamin Rohaut, Mario Rosanova, Jacobo Sitt, Jan Claassen, Venkatesh Aiyagari, Yama Akbari, Fawaz Al‐Mufti, Sheila Alexander, Anne W. Alexandrov, Moshagan Amiri, Meron Awraris Gebre, Mary Kay Bader, Neeraj Badjiata, Ram Balu, Megan E. Barra, Rachel Beekman, Ettore Beghi, Kathleen Bell, Erta Beqiri, Tracey Berlin, Thomas P. Bleck, Yelena G. Bodien, Varina L. Boerwinkle, Mélanie Boly, Alexandra Bonnel, Emery N. Brown, Eder Cáceres, Emilio G. Cediel, Sherry Chou, Giuseppe Citerio, Chad Condie, Katie Cosmas, Claire J. Creutzfeldt, Neha Dangayach, Michael DeGeorgia, Masoom Desai, Michael N. Diringer, James Dullaway, Brian L. Edlow, Ari Ercole, Anna Estraneo, Guido J. Falcone, Salia Farrokh, Simona Ferioli, Davinia Fernández‐Espejo, Ericka L. Fink, Joseph J. Fins, Brandon Foreman, Jennifer Frontera, Rishi Ganesan, Ahmeneh Ghavam, Joseph T. Giacino, Christie Gibbons, Olivia Gosseries, Theresa Green, David M. Greer, Mary Guanci, Cecil D. Hahn, Ryan Hakimi, Flora F. McConnell Hammond, Daniel F. Hanley, Jed A. Hartings, Ahmed M. Hassan, Raimund Helbok, Claude Hemphill, Holly E. Hinson, Karen G. Hirsch, Sarah Hocker, Peter Hu, Theresa Human, David Hwang, Judy Illes, Matthew Jaffa, Michael L. James, Anna Janas, Morgan Jones, E. Keller, Maggie Keogh, Jenn Kim, Keri S. Kim, Hannah Kirsch, Matt Kirschen, Nerissa Ko, Daniel Kondziella, Natalie Kreitzer, Abhay Kumar, Pedro Kurtz, Steven Laureys, Thomas Lawson, Nicolas Lejeune, Ariane Lewis, John Liang, Geoffrey Ling, Sarah Livesay, Andrea I. Luppi, Lori Madden, Craig Maddux, Dea Mahanes, Shraddha Mainali, Nelson Maldonado, Rennan Martins Ribeiro, Marcello Massimini, Stephan A. Mayer, Victoria McCredie, Molly McNett, Jorge Mejía-Mantilla, David Menon, Geert Meyfroidt, Julio Mijangos, Dick Moberg, Asma Moheet, Erika Molteni, Martin M. Monti, Chris Morrison, Susanne Muehlschlegel, Brooke Murtaugh, Lionel Naccache, Masao Nagayama, Emerson Nairon, Girija Natarajan, Virginia Newcombe, Niklas Nielsen, Naomi Niznick, Filipa Noronha-Falcão, Paul Nyquist, DaiWai M. Olson, Marwan Othman, Adrian M. Owen, Llewellyn Padayachy, Soojin Park, Melissa Pergakis, Len Polizzotto, Nader Pouratian, Marilyn Price Spivack, Lara Prisco, J. Javier Provencio, Louis Puybasset, Chethan Rao, Lindsay Rasmussen, Verena Rass, Michael Reznik, Risa Richardson, Cássia Righy Shinotsuka, Chiara Robba, Courtney Robertson, John D. Rolston, Eric S. Rosenthal, Mary E. Russell, Gisele Sampaio Silva, Leandro Sanz, Simone Sarasso, Aarti Sarwal, Nicolas Schiff, Caroline Schnakers, David B. Seder, Vishank Shah, Amy Shapiro-Rosen, Angela Hays Shapshak, Kartavya Sharma, Tarek Sharshar, Lori Shutter, Beth S. Slomine, Peter Smielewski, Wade S. Smith, Emmanuel A. Stamatakis, Alexis Steinberg, Robert D. Stevens, José I. Suarez, Bethany L. Sussman, Shaurya Taran, Aurore Thibaut, Zachary Threlkeld, Lorenzo Tinti, Daniel Toker, Michel Torbey, Stephen Trevick, Alexis F. Turgeon, Andrew Udy, Panos Varelas, Paul Vespa, Walter Videtta, Henning U. Voss, Ford Vox, Amy K. Wagner, Mark S. Wainwright, John Whyte, Briana Witherspoon, Aleksandra Yakhind, Ross Zafonte, Darin B. Zahuranec, Chris Zammit, Bei Zhang, Wendy Ziai, Lara Zimmerman, Elizabeth Zink
Bibliographic record
VenueNeurocritical Care · 2024
Typeerratum
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsNeurologyMedicinePersistent vegetative stateConsciousnessElectrophysiologyPsychologyPsychiatryNeuroscienceInternal medicineMinimally conscious state
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.206
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.047
Threshold uncertainty score0.156
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.206 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.016 | 0.027 |
| Insufficient payload (model declined to judge) | 0.047 | 0.041 |
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 head0.036
GPT teacher head0.330
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial
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
Published2024
Admission routes1
Has abstractno