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<i>PHIP</i>- a novel candidate breast cancer susceptibility locus on 6q14.1
Xiang Jiao, Christos Aravidis, Rajeshwari Marikkannu, Johanna Rantala, Simone Picelli, Tatjana Adamović, Tao Liu, Paula Maguire, Bárbara Kremeyer, Liping Luo, Susanna von Holst, Vinaykumar Kontham, Jessada Thutkawkorapin, Sara Margolin, Quan Du, Johanna Lundin, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang, Joe Dennis, Michael Lush, Christine B. Ambrosone, Irene L. Andrulis, Hoda Anton‐Culver, Natalia Antonenkova, Volker Arndt, Matthias W. Beckmann, Carl Blomqvist, William J. Blot, Bram Boeckx, Stig E. Bojesen, Bernardo Bonanni, Judith S. Brand, Hiltrud Brauch, Hermann Brenner, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Qiuyin Cai, Jenny Chang‐Claude, Fergus J. Couch, Angela Cox, Simon S. Cross, Sandra Deming-Halverson, Peter Devilee, Isabel dos‐Santos‐Silva, Thilo Dörk, Mikael Eriksson, Peter A. Fasching, Jonine D. Figueroa, Dieter Flesch‐Janys, Henrik Flyger, Marike Gabrielson, Montserrat García‐Closas, Graham G. Giles, Anna González‐Neira, Pascal Guénel, Qi Guo, Melanie Gündert, Christopher A. Haiman, Emily Hallberg, Ute Hamann, Patricia Harrington, Maartje J. Hooning, John L. Hopper, Guanmengqian Huang, Anna Jakubowska, Michael E. Jones, Michael J. Kerin, Veli‐Matti Kosma, Vessela N. Kristensen, Diether Lambrechts, Loı̈c Le Marchand, Jan Lubiński, John W.M. Martens, Roger L. Milne, Anna Marie Mulligan, Susan L. Neuhausen, Heli Nevanlinna, Julian Peto, Katri Pylkäs, Paolo Radice, Valerie Rhenius, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Caroline Seynaeve, Mitul Shah, Jacques Simard, Melissa C. Southey, Anthony J. Swerdlow, Thérèse Truong, Camilla Wendt, Robert Winqvist, Wei Zheng, Javier Benı́tez, Alison M. Dunning, Paul D.P. Pharoah, Douglas F. Easton, Kamila Czene, Per Hall, Annika Lindblom
Bibliographic record
VenueOncotarget · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsUniversité LavalUniversity of TorontoUniversity Health NetworkCentre hospitalier universitaire de QuébecLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersNational Cancer InstituteMedical Research CouncilCanadian Institutes of Health ResearchCancerfondenStockholms Läns LandstingNational Institute for Health and Care ResearchVetenskapsrådetCancer Research UKMcGill UniversityGénome QuébecFrancis Crick InstituteNational Institutes of HealthOvarian Cancer Research FundEuropean CommissionBreast Cancer Research Foundation
KeywordsBreast cancerMedicineLocus (genetics)OncologyInternal medicineBioinformaticsCancerBiologyGeneticsGene
Abstract
gene.
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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.589
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) | 0.000 | 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 head0.012
GPT teacher head0.266
Teacher spread0.255 · 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
Citations14
Published2017
Admission routes2
Has abstractyes