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Predicting missing biomarker data in a longitudinal study of Alzheimer disease
Raymond Y. Lo, William J. Jagust, Paul Aisen, Clifford R. Jack, Arthur W. Toga, Laurel Beckett, Anthony Gamst, Holly Soares, Robert C. Green, Tom Montine, Ronald G. Thomas, Michael Donohue, Sarah Walter, Anders M. Dale, Matt A. Bernstein, Joel P. Felmlee, Nick C. Fox, Paul M. Thompson, Norbert Schuff, Gene Alexander, Charles DeCarli, Dan Bandy, Kewei Chen, John C. Morris, Virginia M.‐Y. Lee, Magdalena Korecka, Karen Crawford, Scott Neu, Danielle Harvey, John Kornak, Andrew J. Saykin, Tatiana Foroud, Steven G. Potkin, Li Shen, Neil Buckholtz, Jeffrey Kaye, Sara Dolen, Joseph F. Quinn, Lon S. Schneider, Sonia Pawluczyk, Bryan M. Spann, James Brewer, Helen Vanderswag, Judith L. Heidebrink, Joanne Lord, Ronald Petersen, Kris Johnson, Rachelle S. Doody, Javier Villanueva‐Meyer, Munir Chowdhury, Yaakov Stern, Lawrence S. Honig, Karen L. Bell, Mark A. Mintun, Stacy Schneider, Daniel Marson, Randall Griffith, David Clark, Hillel Grossman, Cheuk Y. Tang, George Marzloff, Leylade Toledo-Morrell, Raj C. Shah, Ranjan Duara, Daniel Varón, Peggy Roberts, Marilyn S. Albert, Julia Pedroso, Jaimie Toroney, Henry Rusinek, Mony J. de Leon, Susan M De Santi, P. Murali Doraiswamy, Jeffrey R. Petrella, Marilyn Aiello, Christopher M. Clark, Cassie Pham, Jessica Nuñez, Charles D. Smith, Curtis A. Given, Peter Hardy, Oscar L. López, MaryAnn Oakley, Donna M. Simpson, M. Saleem Ismail, Connie Brand, Jennifer Richard, Ruth A. Mulnard, Gaby Thai, Catherine Mc-Adams-Ortiz, Ramon Diaz‐Arrastia, Kristen Martin-Cook, Michael D. Devous, Allan I. Levey, James J. Lah, Janet S. Cellar, Jeffrey M. Burns, Heather S. Anderson, Mary M. Laubinger, George Bartzokis, Daniel Silverman, Po H. Lu, Neill R Graff-Radford MBBCH, Francine Parfitt, Heather Johnson, Martin R. Farlow, Scott Herring, Ann Marie Hake, Christopher H. van Dyck, Martha G. MacAvoy, Amanda L. Benincasa, Howard Chertkow, Howard Bergman, Chris Hosein, Sandra E. Black, Simon J. Graham, Curtis Caldwell, Ging‐Yuek Robin Hsiung, Howard Feldman, Michele Assaly, Andrew Kertesz, John Rogers, Dick Trost, Charles Bernick, Donna Munic, Chuang‐Kuo Wu, Nancy Johnson, Marsel Mesulam, Carl Sadowsky, Walter Martínez, Teresa Villena, Scott Turner, Kathleen Johnson, Kelly E. Behan, Reisa A. Sperling, Dorene M. Rentz, Keith A. Johnson, Allyson Rosen, Jared Tinklenberg, Wes Ashford, Marwan N. Sabbagh, Donald J. Connor, Sandra A. Jacobson, Ronald Killiany, Alexander Norbash, Anil K. Nair, Thomas O. Obisesan, Annapurni Jayam‐Trouth, Paul Wang, Alan J. Lerner, Leon Hudson, Paula Ogrocki, Evan Fletcher, Owen Carmichael, Smita Kittur, Seema Mirje, Michael Borrie, T‐Y Lee, Dr Rob Bartha, Sterling C. Johnson, Sanjay Asthana, Cynthia M. Carlsson, Steven Potkin, Adrian Preda, Dana Nguyen, Pierre N. Tariot, Adam Fleisher, Stephanie Reeder, Vernice Bates, Horacio Capote, Michelle Rainka, Barry Hendin, Douglas W. Scharre, Maria Kataki, Earl A. Zimmerman, Dzintra Celmins, Alice D. Brown, Sam Gandy, Marjorie E. Marenberg, Barry W. Rovner, Godfrey D. Pearlson, Karen Anderson, Robert B. Santulli, Jessica Englert, Jeff D. Williamson, Kaycee M. Sink, Franklin Watkins, Brian R. Ott, Ronald Cohen, Stephen Salloway, Paul Malloy, Stephen Correia, Howard J. Rosen, Bruce L. Miller, Jacobo Mintzer
Bibliographic record
VenueNeurology · 2012
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsSunnybrook Health Science CentreSt Joseph's Health CentreMcGill UniversityJewish General Hospital
FundersNational Institute on AgingGenentechNational Institutes of HealthBayer HealthCareAlzheimer's AssociationSynarcTauRx Pharmaceuticals
KeywordsMissing dataBiomarkerNeuroimagingLongitudinal studyAlzheimer's Disease Neuroimaging InitiativeLogistic regressionMedicineAlzheimer's diseaseInternal medicineCognitionOncologyDepression (economics)DiseaseClinical trialUnivariatePsychologyPathologyPsychiatryMultivariate statistics
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.265
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 | 0.000 |
| 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.
Opus teacher head0.136
GPT teacher head0.405
Teacher spread0.268 · 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.
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
Citations50
Published2012
Admission routes1
Has abstractyes