Bibliographic record
Abstract
John R. Sims, MD; Jennifer A. Zimmer, MD; Cynthia D. Evans, PhD; Ming Lu, MD, MS, MPH; Paul Ardayfio, PhD; JonDavid Sparks, PhD; Alette M. Wessels, PhD; Sergey Shcherbinin, PhD; Hong Wang, PhD; Emel Serap Monkul Nery, MD; Emily C. Collins, PhD; Paul Solomon, PhD; Stephen Salloway, MD; Liana G. Apostolova, MD; Oskar Hansson, MD, PhD; Craig Ritchie, MD, PhD; Dawn A. Brooks, PhD; Mark Mintun, MD; Daniel M. Skovronsky, MD, PhD; TRAILBLAZER-ALZ 2 Investigators; Rafael Abreu; Pinky Agarwal; Puja Aggarwal; Marc Agronin; Alison Allen; Dario Altamirano; Gustavo Alva; James Andersen; Allan Anderson; Donald Anderson; Jennifer Arnold; Takashi Asada; Yasuhiro Aso; Vikram Atit; Ricardo Ayala; Michael Badruddoja; Hanna Badzio-jagiello; Michal Bajacek; David Barton; David Bear; Sabrina Benjamin; Richard Bergeron; Perminder Bhatia; Sandra Black; Allan Block; Mohammad Bolouri; Wendy Bond; Jean Bouthillier; Sharon Brangman; Bruce Brew; Sarah Brisbin; Toby Brisken; Amy Brodtmann; Mark Brody; Jared Brosch; Celia Brown; Paul Brownstone; Sylwia Bukowczan; Jeffrey Burns; Alicia Cabrera; Horace Capote; Angel Carrasco; Jose Cevallos Yepez; Eric Chavez; Howard Chertkow; Urszula Chyrchel-paszkiewicz; Anthony Ciabarra; Edward Clemmons; Daniel Cohen; Robert Cohen; Ian Cohen; Mauricio Concha; Brian Costell; Denis Crimmins; Yvette Cruz-pagan; Adolfo Cueli; Robert Cupelo; Maciej Czarnecki; David Darby; P.l.j. Dautzenberg; Peter De Deyn; Jose De La Gandara; Kenneth Deck; David Dibenedetto; Mark Dibuono; Eric Dinnerstein; Ahmet Dirican; Shanker Dixit; Jacek Dobryniewski; Ryan Drake; Peter Drysdale; Ranjan Duara; John Duffy; Aaron Ellenbogen; Victor Faradji; Marc Feinberg; Robert Feldman; Simon Fishman; Stephen Flitman; Concetta Forchetti; Ivonne Fraga; Andrew Frank; Benjamin Frishberg; Hiroto Fujigasaki; Hiroyuki Fukase; Ileana Fumero; Kenichi Furihata; Christopher Galloway; Rekha Gandhi; Kristi George; Marcel Germain; Darren Gitelman; Nicholas Goetsch; Danielle Goldfarb; Mark Goldstein; Lawrence Goldstick; Yaneicy Gonzalez Rojas; Ira Goodman; David Greeley; Carl Griffin; Eric Grigsby; Daniel Grosz; Karl Hafner; David Hart; Sam Henein; Brad Herskowitz; Shinji Higashi; Yasuto Higashi; Gilbert Ho; Jonathan Hodgson; Mark Hohenberg; Larry Hollenbeck; Richard Holub; Tomokatsu Hori; Jakub Hort; Jan Ilkowski; K. Jennifer Ingram; Mitchell Isaac; Mitsunori Ishikawa; Lubos Janu; Mark Johnston; William Julio; William Justiz; Tomotsugu Kaga; Tatsuya Kakigi; Marvin Kalafer; Mikiko Kamijo; Jeffrey Kaplan; Michael Karathanos; Sadao Katayama; Siddharth Kaul; Andrew Keegan; Diana Kerwin; Uzma Khan; Arifulla Khan; Noriyuki Kimura; Gregory Kirk; Gabriela Klodowska; Hisatomo Kowa; Christen Kutz; Joseph Kwentus; Rosalyn Lai; Ayesha Lall; Mary Lawrence; Elly Lee; Ramon Leon; Gary Linker; Pawel Lisewski; Jonathan Liss; Collins Liu; Scott Losk; Ewelina Lukaszyk; Jennifer Lynch; Stephen Macfarlane; Josephine Macsweeney; Nicholas Mannering; Oto Markovic; Donald Marks; Joseph Masdeu; Yutaka Matsui; Kunitaka Matsuishi; Peter Mcallister; Brock Mcconnehey; Alvin Mcelveen; Lora Mcgill; Adam Mecca; Michael Mega; Jason Mensah; Anatol Mickielewicz; Artin Minaeian; Bharat Mocherla; Cynthia Murphy; Paul Murphy; Hirotaka Nagashima; Anil Nair; Malini Nair; John Nardandrea; Marshall Nash; Ziad Nasreddine; Yoshihiko Nishida; Jeffrey Norton; Lazaro Nunez; Jun Ochiai; Takuya Ohkubo; Yasuyuki Okamura; Eugene Okorie; Esteban Olivera; John O'mahony; Omid Omidvar; Desiree Ortiz-Cruz; Alexander Osowa; Michelle Papka; Alicia Parker; Paayal Patel; Ashok Patel; Meenakshi Patel; Claude Patry; Elizabeth Peckham; Michael Pfeffer; Alison Pietras; Michael Plopper; Anton Porsteinsson; Raphael Poulin Robitaille; Niels Prins; Orlando Puente; Marcin Ratajczak; Margaret Rhee; Angela Ritter; Ramon Rodriguez; Lilia Rodriguez Ables; Julio Rojas; Jeffrey Ross; Paule Royer; Jay Rubin; David Russell; Sterre Malou Rutgers; Stephanie Rutrick; Martin Sadowski; Beth Safirstein; Takafumi Sagisaka; Douglas Scharre; Lon Schneider; Curtis Schreiber; Michael Schrift; Paul Schulz; Harvey Schwartz; Julie Schwartzbard; John Scott; Lissette Selem; Pramod Sethi; Sharon Sha; Kenneth Sharlin; Sanjiv Sharma; Thomas Shiovitz; Rajinder Shiwach; Martin Sladek; Bart Sloan; Amanda Smith; Paul Solomon; Ehab Sorial; Evelio Sosa; Mary Stedman; Susan Steen; Lee Stein; Arkadiy Stolyar; John Stoukides; Shinji Sudoh; James Sutton; Junaid Syed; Kinga Szigeti; Hisatsugu Tachibana; Yuichi Takahashi; Amane Tateno; James Dale Taylor; Kelly Taylor; Oleg Tcheremissine; Adly Thebaud; Stephen Thein; Louise Thurman; Steven Toenjes; Hiromasa Toji; Misaki Toma; Duc Tran; Pilar Trueba; Masashi Tsujimoto; Raymond Turner; Akiyoshi Uchiyama; Dorota Ussorowska; Sanjeev Vaishnavi; Elena Valor; Joel Vandersluis; Alberto Vasquez; Juan Velez; Cherian Verghese; Klaudia Vodickova-borzova; David Watson; David Weidman; David Weisman; Alexander White; Katherine Willingham; Izabela Winkel; Paul Winner; Jaron Winston; Adam Wolff; Hideo Yagi; Hideki Yamamoto; Sanjay Yathiraj; Yasumasa Yoshiyama; Marzena Zboch
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.009 | 0.015 |
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; both teacher heads agree on what is shown here.
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".