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Assessing the Carcinogenic Potential of Low Dose Exposures to Chemical Mixtures in the Environment: Replicative immortality
William H. Goodson, Leroy Lowe, O. David Carpenter, Michael Gilbertson, Abdul Manaf Ali, Adela Lopez de Cerain Salsamendi, Ahmed Lasfar, Amancio Carnero, Amaya Azqueta, Amedeo Amedei, Kellie A. Charles, Dale W. Laird, C. Daniel Koch, J. Danielle Carlin, W. Dean Felsher, Debasish Roy, Gavin Brown, Edward A. Ratovitski, Philip Ryan, Emanuela Corsini, Emilio Rojas, H. Masoud Manjili, Eun‐Yi Moon, Ezio Laconi, Fabio Marongiu, Fahd Al-Mulla, Ferdinando Chiaradonna, F. Darroudi, J. Frederik Van Schooten, Samantha Goldberg, Gerard Wagemaker, E. Matilde Lleonart, N. Gladys Nangami, Mónica Calaf, P. Graeme Williams, Thorsten Wolf, Gudrun Koppen, Gunnar Brunborg, H. Kim Lyerly, Harini Krishnan, Hasiah Ab Hamid, Hemad Yasaei, Menghang Xia, Hirohito Sone, Hiroshi Kondoh, K. Salem, Hsue‐Yin Hsu, Hyun Ho Park, Igor Koturbash, R. Isabelle Miousse, A. Ivana Scovassi, E. James Klaunig, Jan Vondráček, J. Michael Gonzalez Guzman, Jayadev Raju, Jesse Roman, John Pierce Wise, R. Jonathan Whitfield, Jordan Woodrick, Anjili Christopher, Josiah Ochieng, Juan Fernando Martínez-Leal, Judith Weisz, Julia Kravchenko, V. Michalis Karamouzis, Jun Sun, R. Kalan Prudhomme, Kannan Badri Narayanan, A. Karine Cohen-Solal, Kim Moorwood, Laetitia Gonzalez, Laura Soucek, Le Jian, S. Leandro D’Abronzo, Liang Lin, Micheline Kirsch‐Volders, Lin Li, Linda Gulliver, J. Lisa McCawley, Lorenzo Memeo, Louis Vermeulen, Luc Leyns, Luoping Zhang, Mahara Valverde, Mahin Khatami, Maria Fiammetta Romano, Monica Vaccari, Marion Chapellier, Adrienne Williams, Mark Wade, B. Nancy Kuemmerle, Neetu Singh, Nichola Cruickshanks, R. Collins, Nicole Kleinstreuer, Nicolas Van Larebeke, Nuzhat Ahmed, Olugbemiga Ogunkua, P K Krishnakumar, Pankaj Vadgama, A. Paola Marignani, Manosij Ghosh, Patricia Ostrosky‐Wegman, Adrian Thompson, Andrew Ward, Paul Dent, Petr Heneberg, Philippa D. Darbre, Po Sing Leung, Pratima Nangia‐Makker, Qiang Cheng, R. Brooks Robey, Rabeah Al‐Temaimi, Rabindra Roy, Rafaela Andrade-Vieira, C. Anna Salzberg, K. Ranjeet Sinha, Rekha Mehta, Renza Vento, Riccardo Di Fiore, Richard Ponce‐Cusi, Rita Dornetshuber-Fleiss, Rita Nahta, Claudia Castellino, Roberta Palorini, A. Roslida Hamid, Annamaria Colacci, A. S. Sabine Langie, E. Sakina Eltom, Alice S. Brooks, Sandra Ryeom, Sandra S. Wise, N. Sarah Bay, Abigail Harris, Silvana Papagerakis, Simona Romano, Sofia Pavanello, Ann‐Karin Olsen, Staffan Eriksson, Stefano Forte, C. Stephanie Casey, Sudjit Luanpitpong, Tae-Jin Lee, Takemi Otsuki, Tao Chen, Thierry Massfelder, J. Thomas Sanderson, Tiziana Guarnieri, Arthur Berg, Tove Hultman, Valérian Dormoy, Valerie Odero-Marah, Venkata Sabbisetti, Véronique Maguer‐Satta, W. Kimryn Rathmell, Wilhelm Engström, Kristin Decker, H. William Bisson, Yon Rojanasakul, John Barclay, Yunus Luqmani, Zhenbang Chen, Zhiwei Hu, Peitao Zhou, Carmen Blanco‐Aparicio, J. Carolyn Baglole, Chenfang Dong, Chiara Mondello, Chia-Wen Hsu, C. Christian Naus, Clément G. Yedjou, S. Colleen Curran
Bibliographic record
VenueKyoto University Research Information Repository (Kyoto University) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyNational Institute of Environmental Health SciencesCanadian Institutes of Health ResearchNational Institutes of HealthFundación FeroFondo Nacional de Ciencia y TecnologíaUniversidad de TarapacáUniversitetet i OsloAssociazione Italiana per la Ricerca sul CancroKing Abdulaziz City for Science and TechnologyHealth and Medical Research FundNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Science and TechnologyInstituto de Salud Carlos IIIOhio State UniversityNational Research Foundation of KoreaCalifornia Breast Cancer Research ProgramKuwait Foundation for the Advancement of SciencesAmerican Cancer SocietyFonds Wetenschappelijk OnderzoekDalhousie UniversitySwim Across AmericaNational Science CouncilU.S. Department of Veterans AffairsAustrian Science FundGrantová Agentura České RepublikyInstitut National de la Santé et de la Recherche MédicaleNational Institute on Minority Health and Health DisparitiesUniversità di BolognaEuropean CommissionAXA Research FundCancer Research UKNova Scotia Health Research FoundationTaipei Medical UniversityJapan Science and Technology AgencyUniversity of OtagoNorges ForskningsrådMinistero dell’Istruzione, dell’Università e della RicercaArkansas Biosciences InstituteUniversité de StrasbourgDalhousie Medical Research FoundationMinisterio de Educación, Gobierno de ChileVlaamse regeringNational Research FoundationRutgers Cancer Institute of New JerseyEuropean Chemical Industry CouncilRegione Emilia-RomagnaOffice of Research and DevelopmentMinistry of Science and Technology, TaiwanBeatrice Hunter Cancer Research InstituteU.S. Environmental Protection AgencyCancer Prevention and Research Institute of TexasNew Jersey Health FoundationUniversità degli Studi di FirenzeFondazione CariploEuropean Regional Development FundV Foundation for Cancer ResearchU.S. Public Health ServiceHoward Hughes Medical InstituteFood and Health BureauUniverzita Karlova v PrazeGarrett B. Smith FoundationCancer Research InstituteNational Science FoundationVlaamse Instelling voor Technologisch OnderzoekU.S. Department of Health and Human Services
KeywordsImmortalityCarcinogenChemistryCancer researchToxicologyBiologyBiochemistryGenetics
DOInot available
Abstract
A correction has been published: Carcinogenesis, Volume 37, Issue 3, March 2016, Page 344, https://doi.org/10.1093/carcin/bgv155.
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.
metaresearch head score (Codex)0.002
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 score0.123
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 head0.066
GPT teacher head0.320
Teacher spread0.254 · 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
Citations0
Published2015
Admission routes1
Has abstractyes