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Record W2933590268 · doi:10.1186/s40425-019-0519-y

Correction to: 33rd Annual Meeting & Pre-Conference Programs of the Society for Immunotherapy of Cancer (SITC 2018)

2019· erratum· en· W2933590268 on OpenAlexaff
Sneha Berry, Nicolás A. Giraldo, Peter K. Nguyen, Benjamin Green, Haiying Xu, Aleksandra Ogurtsova, Abha Soni, Farah Succaria, Daphne Wang, Charles W.M. Roberts, Julie E. Stein, Elizabeth L. Engle, Drew M. Pardoll, Robert Anders, Tricia R. Cottrell, Janis M. Taube, Ben Tran, Mark Voskoboynik, James Kuo, Yung-Lue Bang, Hyun-Cheo Chung, Myung-Ju Ahn, Sang‐We Kim, Ayesh D. Perera, Daniel J. Freeman, Ikbel Achour, Raffaella Faggioni, Feng Xiao, Charles Ferté, Charlotte Lemech, Funda Meric‐Bernstam, Theresa L. Werner, Stephen Hodi, Wells A. Messersmith, Nancy Lewis, C. Talluto, Mirek Dostalek, Aiyang Tao, Sarah M. McWhirter, Damian Trujillo, Jason J. Luke, Chunxiao Xu, BoMarelli, Jin Qi, Guozhong Qin, Huakui Yu, Molly H. Jenkins, Kin-Ming Lo, Joern-Peter Halle, Yan Lan, Matthew H. Taylor, Nicholas J. Vogelzang, Allen Lee Cohn, Daniel E. Stepan, Robert Shumaker, Corina E. Dutcus, Matthew Guo, Emmett V. Schmidt, Drew Rasco, Marcia S. Brose, Christopher Di Simone, Sharad Jain, Donald Richards, Carlos A. Encarnacion, James W. Mier, Jeongshin An, Yeun-yeoul Yang, Won Hee Lee, Jinho Yang, Jong-kyu Kim, Hyun Goo Kim, Se Hyun Paek, Joohyun Woo, Jong Bin Kim, Hyungju Kwon, Woosung Lim, Nam Sun Paik, Yoon‐Keun Kim, Byung‐In Moon, Filip Jankú, David S.P. Tan, Juan Martín-Liberal, Shunji Takahashi, Ravit Geva, Ayca Gucalp, Xueying Chen, Kulandayan K. Subramanian, Jennifer Mataraza, Jennifer J. Wheler, Philippe L. Bédard

Bibliographic record

VenueJournal for ImmunoTherapy of Cancer · 2019
Typeerratum
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
FundersCancer Council South AustraliaStand Up To CancerNational Institutes of HealthGovernment of South AustraliaMelanoma Research AllianceSouth Australian Health and Medical Research InstituteJohns Hopkins UniversityDamon Runyon Cancer Research Foundation
KeywordsCancer immunotherapyLibrary scienceMedicineImmunotherapyCancerComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

After publication of this supplement [1, 2], it was brought to our attention that due to an error authors were missing in the following abstracts. This has now been included in this correction. The original article can be found online at 10.1186/s40425-018-0423-x

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 imitation

Not 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.345
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations22
Published2019
Admission routes1
Has abstractyes

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