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Record W2992092014 · doi:10.1016/j.ejca.2019.07.029

The role of chemotherapy and radiotherapy in localized extraskeletal osteosarcoma

2019· article· en· W2992092014 on OpenAlexaff
Marilyn Heng, Abha A. Gupta, Peter Chung, John H. Healey, Max Vaynrub, Peter S. Rose, Matthew T. Houdek, Patrick P. Lin, Andrew J. Bishop, Francis J. Hornicek, Yen‐Lin Evelyn Chen, Santiago A. Lozano‐Calderón, Ginger E. Holt, Ilkyu Han, David Biau, Xiaohui Niu, Nicholas M. Bernthal, Peter C. Ferguson, Jay S. Wunder, Takafumi Ueda, Shigeki Kakunaga, Akira Kawai, Hideshi Sugiura, Teruki Kidani, Toshiyuki Kunisasa, Toshifumi Ozaki, Keisuke Ae, Akihito Nagano, Takatoshi Ohno, Koji Hiraoka, Norio Yamamoto, Hiroyuki Tsuchiya, Yoshihiro Matsumoto, Takashi Yanagawa, Robart Nakayama, Hideo Morioka, Tadahiko Kubo, Shoji Simose, Yoshiki Yamagami, Tetsuji Yamamoto, Motohiro Kawasaki, Tomoaki Torigoe, Yasuo Yazawa, T. Akiyama, Tabu Gokita, Jun Manabe, Mitsunori Kaya, Makoto Emori, Tomoki Nakamura, Akihiko Matsumine, Shinsuke Sugihara, Masahiro Yokouchi, Setsuro Komiya, Yoshiyuki Suehara, Tatsuya Takagi, Teruya Kawamoto, Junji Wasa, Tsukasa Yonemoto, Takeshi Ishii, Ichiro Baba, Manabu Hoshi, Kenichiro Hamada, Norifumi Naka, Tsukasa Sotobori, Nobuhito Araki, Tomotake Okuma, Takahiro Goto, Hiroshi Kobayashi, Hirotaka Kawano, Masami Hosaka, Hiroyuki Futani, Hiroaski Hiraga, Yoshihiro Nishida, Anthony M. Griffin, Albiruni R. Abdul Razak, David Shultz, Charles Catton, Steven I. Robinson, Shreyaskumar Patel, Valerae O. Lewis, B. Ashleigh Guadagnolo, Thomas F. DeLaney, Haotong Wang, Kevin A. Raskin, Alexandra K. Callan, Robert M. Henshaw, Marc Isler, Sophie Mottard, Wei‐Ming Chen, Frank Traub, Tom Wei‐Wu Chen, Robert Turcotte, Darin Davidson, Per‐Ulf Tunn, Herbert H. Loong, Michelle Ghert, Joel Werier, Paul W. Clarkson, John A. Abraham

Bibliographic record

VenueEuropean Journal of Cancer · 2019
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsMount Sinai HospitalUniversity of TorontoPrincess Margaret Cancer Centre
FundersNational Cancer Institute
KeywordsMedicineProportional hazards modelCumulative incidenceIncidence (geometry)Radiation therapyChemotherapyOsteosarcomaRetrospective cohort studySurvival analysisInternal medicineSurgerySystemic therapyOncologyGastroenterologyCancerPathologyCohort

Abstract

fetched live from OpenAlex
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 imitation

Not 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.263
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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

Citations79
Published2019
Admission routes1
Has abstractno

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