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Abstract
Douglas D. Snider, Brendan T. Finucane, Donna Clarke, Joel Loiselle, Greg J. Doak, Brady Anderson, Dan Wood, Sandy Shysh, Philippe Chouinard, François Fugère, François Girard, Monique Ruel, Wendy C. E. Hall, Jiri Hrazdil, Donald T. Jolly, John C. Galbraith, Maria Greacen, Alexander S. Clanachan, Duminda N. Wijeysundera, W. Scott Beattie, Michelle Chochinov, Stephen H. Halpern, Dolores M. McKeen, Robert T. Nunn, Brendan S. Barrett, G. Allen Finley, Susan E. Buffett-Jerrott, Sherry H. Stewart, Donna Millington, Keyvan Karkouti, Y. Raja Rampersaud, Stuart A. McCluskey, Lucia Evans, Mohammed Ghannam, Nizar N. Mahomed, Sudha Singh, Patricia Morley-Forster, Mohammed Shamsah, Ian R. Thomson, Aaron D. Brown, Jeffrey I. Freedman, Robert J. Hudson, Murray Hong, Sean R. R. Hall, Brian Milne, Louie Wang, Chris Loomis, Ian Gilron, Debbie Tod, Allan C. Bell, Elizabeth Orr, Gary Dobson, Mustafa Karamanoglu, John V. Tyberg, Frances Chung, Charles Imarengiaye, Angela Rocchi, Lindy Forte, Elizabeth G. Van Den Kerkhof, David Goldstein, M. A. Rimmer, Hoi Kwan Lee, Isabelle Charest, René Martin, François Plante, Shaheen Shaikh, Damian Yung, Mark Bernstein, Ngozi Imasogie, David Wong, Ken Luk, Suntheralingam Yogendran, Atul Prabhu, Ayman Hendy, Glenn McGuire, Jean Wong, M. Denise Daley, Peter H. Norman, Una Srejic, Thomas B. Dougherty, Sarah Hogervorst, Thomas M. Hemmerling, Joachim Schmidt, Pierre Beaulieu, Klaus Jacobi, Pamela H. Lennox, Kelly Mayson, Toshimi Arai, Kaori Saito, Masao Yamashita, Alain Gauthier, Daniel Boudreault, Dominique Girard, Louie T. S. Wang, Nancy Sikich, Guy C. Pétroz, Jerrold Lerman, Gregory M. T. Hare, Andrew Baker, Kathryn M. Hum, Steve Y. Kim, Aiala Barr, C. David Mazer, Terrance A. Yemen, Thomas Howlett, Nicholas Phan, Navindra Persaud, Min Zhao, Elaine Liu, Michael G. Fehlings, Davinia E. Withington, Tareq M Al-Ayed, G. M. Davis, David M. Ansley, Baljinder S. Dhaliwal, Zhengyuan Xia, Anthony M.‐H. Ho, Anna Lee, Elizabeth Ling, Alan Daly, Kevin Teoh, Theodore E. Warkentin, David V. Godin, Thomas K. H. Chang, Joanne Fortier, Fadi Basile, Ignacio Priéto, Peter C. Duke, Barry A. Finegan, Davy Cheng, Richard Hall, B. Lim, Jack Shannon, Chiu‐Ming Ho, Shen–Kou Tsai, Margaret Srebrnjak, Vivien Walsh, Teresa Valois Gomez, Carmen Rivero Fuenmayor, Paul Bach, Allaudin A. Kamani, Joanne Douglas, M. D. Esler, V. Gunka, Pamela Angle, Sam Tang, D. Thompson, Jean E. Kronberg, A. George Morgan, Craig H. Leicht, Ivan Veličković, David T. Raphael, Maxim Benbassat, D Arnaudov, Alex Bohorquez, Bita Nasseri, D. John Doyle, J Kolman, Ian Keith, Pamela J. Morgan, Doreen Cleave‐Hogg, Susan Eveleigh, Jordan Tarshis, Sharon Davies, John Doyle, Heather Lee Loughlin, J. Patrick O’Connor, John Dolman, Fred S. Mikelberg, Gordana Dulovic, Brian G. Feagan, Cindy J. Wong, Alexandra Kirkley, D. W. C. Johnston, Frank C. Smith, Paul Whitsitt, William Li Pi Shanl, Steven B. Backman, Jeffrey Barkun, Peter Metrakos, J TCHERVENKOV, Mary Jane Salpeter, Leah Jamnicky, Michael A.S. Jewett, Ramiro Arellano, Brian Muirhead, Saifundin Rashiq, Meera Shah, Vikki Wilkinson, Samantha Woolsey, Carol Fiorilli, Joel L. Parlow, Nicole Avery, George Djaiani, Jayanta Muhkerji, Jacek Karski, Jo Carroll, Stuart McCluskey, Linda M. Harris, Jan Paton, Emmanuel Kanetos, William G. Williams, Cristina Hurtado, Manoj Gandhi, Sandy Clanachan, Woo Jong Shin, D. Winegar Bruce, Jae Hang Shim, Woo Jae Jeon, Kyung Hun Kim, Bing Wang, David P. Archer, Naaznin Samanani, Sheldon H. Roth, Claudia Coimbra, Manon Choinière, Denis Babin, François Donati, Cynthia L. Henderson, John H. P. Friesen, Michael J. Jacka, Alan Cheng, Finlay A. McAlister, Jessie A. Leak, Tao Bui, Dy Tien Nguyen, Alicia Kowalski, Keruyi Popat, Henry M. Kuerer, Paul Serowka, Kim Turner, Ted Ashbury, Tianlong Wang, Driss El-Kebir, Bernard Hubert, Ruud A. W. Veldhuizen, Dominique Gauvin, Gilbert Blaise, Fan Yang, Patricia Amicone
Bibliographic record
VenueCanadian Journal of Anesthesia/Journal canadien d anesthésie · 2002
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsLawson Health Research InstituteAlberta Hospital EdmontonMcGill UniversityRoyal Victoria HospitalHamilton Health SciencesMount Sinai HospitalThe Wilson CentreToronto Western HospitalWomen's College HospitalBritish Columbia Centre of Excellence for Women's HealthRobarts Clinical TrialsDalhousie UniversityWilliam Osler Health SystemUniversity of British ColumbiaSickKids FoundationVancouver General HospitalHôtel-Dieu de MontréalHôpital FleurimontMisericordia Community HospitalB.C. Women's Hospital & Health CentreResearch CanadaCentre Hospitalier Universitaire de SherbrookeKingston General HospitalSt Joseph's Health CareQueen's UniversityHealth Sciences CentreUniversity of CalgarySt. Michael's HospitalQueen Elizabeth II Health Sciences CentreManitoba HealthWestern UniversityRoyal University HospitalIzaak Walton Killam Health CentreUniversity of AlbertaUniversity of TorontoPetro-CanadaMemorial University of NewfoundlandVictoria General HospitalUniversity Health NetworkSunnybrook Health Science CentreNexen (Canada)Université de MontréalSt. Boniface HospitalToronto General HospitalMontreal Children's HospitalUniversity of Alberta HospitalAlberta Environment and Protected AreasGeneral Motors (Canada)Fowler Kennedy Sport Medicine ClinicHôpital Notre-DameUniversity of ManitobaVancouver Hospital and Health Sciences CentreHospital for Sick Children
Fundersnot available
KeywordsPolitical science
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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.351
Threshold uncertainty score0.000
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.649 | 0.379 |
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 head0.301
Teacher spread0.265 · 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.
Study designNot applicable
Domainnot available
GenreOther
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
Published2002
Admission routes1
Has abstractno