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CONTENTS OF VOLUME 80, 2016

2016· article· fr· W4245395246 on OpenAlexaff
Kishan S. Parikh, G. Michael Felker, Marco Metra, Shumpei Mori, Diane E. Spicer, Robert H. Anderson, Rachel Spencer, Bettina Heidecker, Peter Ganz, Vasospastic The Who, John Angina, F. Beltrame, Juan Crea, Hisao Kaski, Peter Ogawa, Udo Ong, Hiroaki Sechtem, Chikako Shimokawa, Cristiana Vitale, Giuseppe Rosano, Juan Carlos, Pei-Hsun Sung, Chiung-Jen Wu, Hon-Kan Yip, Preethi William, Uday Rao, Alejandro Kanakadandi, Karl Asencio, Rahul H. Rathod, Andrew Powell, Tal Geva, R Shimizu, James K. Liao, Zvonimir S. Katušić, Susan A. Austin, Foramen Patent, Yee-Ping Ovale, Shunichi Sun, Sasha A. Singh, Elena Aïkawa, Masanori Aikawa, Takeshi Nakatani, Norihide Fukushima, Minoru Ōno, Yoshikatsu Saiki, Hikaru Matsuda, Shinichi Nunoda, Yoshiki Sawa, Mitsuaki Isobe, Orlando Aizawa, Mai Kimura, Takashi Kohno, Jun Fujita, Keiichi Fukuda, Jun Takahashi, Kimio Satoh, Koji Fukuda, Koichiro Sugimura, Yasuharu Matsumoto, Makoto Nakano, Ryuji Tsuburaya, Tatsuo Aoki, Kiyotaka Hao, Kensuke Nishimiya, Kenta Ito, Yasuhiko Sakata, Hiroaki Shimokawa, Tetsuo Konno, Kenshi Hayashi, Masa‐aki Kawashiri, Fabiana Rollini, Francesco Franchi, Akinori Fujikake, Takaaki Komatsu, Shiro Nakahara, Isao Taguchi, Chuwa Tei, Teruhiko Imamura, Koichiro Kinugawa, Teruo Inoue, Tohru Masuyama, Hiroshi Inoue, Hirofumi Noike, Toshihiro Muramatsu, Yasuchika Takeishi, Keijiro Saku, Kazumasa Harada, Hiroyuki Daida, Youichi Kobayashi, Nobuhisa Hagiwara, Masatoshi Nagayama, Shin‐ichi Momomura, Kazuya Yonezawa, Hiroshi Ito, Satoshi Gojo, Makoto Akaishi, Masaaki Miyata, Mitsuru Ohishi, Tsutomu Saji, Masafumi Myoishi, Nobuhiro Tahara, Yutaka Takeda, Horst Olschewski, Yoshimi Matsuda, Eitaro Kodani, Hirotsugu Atarashi, Ken Okumura, Takeshi Yamashita, Hideki Origasa, Yasushi Ueki, Masahiro Mohri, Tetsuya Matoba, Yasuyuki Tsujita, Masao Yamasaki, Eizo Tachibana, Naohiro Yonemoto, Ken Nagao, Atsuko Nakayama, Hiroyuki Morita, Naoto Hayashi, Yukihiro Nomura, Katsuyuki Hoshina, Kunihiro Shigematsu, Hiroshi Ohtsu, Tetsuro Miyata, Issei Komuro, Mayu Sakata, Yasuo Takehara, Kazuto Katahashi, Masaki Sano, Kazunori Inuzuka, Naoto Yamamoto, Masataka Sugiyama, Harumi Sakahara, Tetsuya Wakayama, Marcus T. Alley, Hiroyuki Konno, Naoki Unno, Tetsuo Arakawa, Leon Kumasaka, Michio Nakanishi, Hitoshi Adachi, Kozue Ikeda, Kazuteru Fujimoto, Takao Tashiro, Yoichi Goto, Shin’ya Takahashi, Keijiro Katayama, Masazumi Watanabe, Hiroshi Kodama, Takahiro Taguchi, T. Kurosaki, Katsuhiko Imai, Taijiro Sueda, Suguru Ohira, Kiyoshi Doi, Satoshi Numata, Sachiko Yamazaki, Hidetake Kawajiri, Hitoshi Yaku, Naoki Fujimura, Hideaki Obara, Kentaro Matsubara, Susumu Watada, Shintaro Shibutani, Takurin Akiyoshi, Daisuke Nitta, Miyoko Endo, Toshiro Inaba, Hisataka Maki, Eisuke Amiya, Masaru Hatano, Osamu Kinoshita, Kan Nawata, Shunei Kyo

Bibliographic record

VenueCirculation Journal · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsImpact
Fundersnot available
KeywordsVolume (thermodynamics)Environmental scienceThermodynamicsPhysics

Abstract

fetched live from OpenAlex

8-Year Journey With the Circulation Journal

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 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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.674
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3260.175

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 head0.054
GPT teacher head0.308
Teacher spread0.254 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2016
Admission routes1
Has abstractno

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