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Record W2912923207 · doi:10.1038/s41380-019-0358-8

Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

2019· article· en· W2912923207 on OpenAlexaff
Ida E. Sønderby, Ómar Gústafsson, Nhat Trung Doan, Derrek P. Hibar, Sandra Martin‐Brevet, Abdel Abdellaoui, David Ames, Katrin Amunts, Michael Andersson, Nicola J. Armstrong, Manon Bernard, Nicholas B. Blackburn, John Blangero, Dorret I. Boomsma, Janita Bralten, Hans-Richard Brattbak, Henry Brodaty, Rachel M. Brouwer, Robin Bülow, Vince D. Calhoun, Svenja Caspers, Gianpiero L. Cavalleri, Chi‐Hua Chen, Sven Cichon, Simone Ciufolini, Aiden Corvin, Benedicto Crespo‐Facorro, Joanne E. Curran, Anders M. Dale, Shareefa Dalvie, Paola Dazzan, Eco J. C. de Geus, Greig I. de Zubicaray, Sonja M. C. de Zwarte, Norman Delanty, Anouk den Braber, Sylvane Desrivières, Gary Donohoe, Bogdan Draganski, Stefan Ehrlich, Thomas Espeseth, Simon E. Fisher, Barbara Franke, Vincent Frouin, Masaki Fukunaga, Thomas Gareau, David C. Glahn, Hans J. Grabe, Nynke A. Groenewold, Jan Haavik, Asta K. Håberg, Ryota Hashimoto, Jayne Y. Hehir‐Kwa, Andreas Heinz, Manon H. J. Hillegers, Per Hoffmann, Laurena Holleran, Jouke‐Jan Hottenga, Hilleke E Hulshoff, Masashi Ikeda, Neda Jahanshad, Terry L. Jernigan, Christiane Jockwitz, Stefan Johansson, Guðrún A. Jónsdóttir, Erik G. Jönsson, René S. Kahn, Tobias Kaufmann, Sinéad Kelly, Masataka Kikuchi, Emma E. M. Knowles, Knut K. Kolskår, John B. Kwok, Stéphanie Le Hellard, Costin Leu, Jingyu Liu, Astri J. Lundervold, Arvid Lundervold, Nicholas G. Martin, Karen A. Mather, Samuel R. Mathias, Mark McCormack, Katie L. McMahon, Allan F. McRae, Yuri Milaneschi, Clara Moreau, Derek W. Morris, David Mothersill, Thomas W. Mühleisen, Robin Murray, Jan Egil Nordvik, Lars Nyberg, Loes M. Olde Loohuis, Roel A. Ophoff, Tomáš Paus, Zdenka Pausová, Brenda W.J.H. Penninx, Juan M. Peralta, Carlos Alberto Vanegas Prieto, Sara Pudas, Erin Burke Quinlan, Daniel Quintana, Céline S. Reinbold, Tiago Reis Marques, Alexandre Reymond, Geneviève Richard, Borja Rodríguez‐Herreros, Roberto Roiz‐Santiáñez, Jarek Rokicki, James Rucker, Perminder S. Sachdev, Anne‐Marthe Sanders, Sigrid Botne Sando, Lianne Schmaal, Peter R. Schofield, Andrew J. Schork, Günter Schumann, Jean Shin, Elena Shumskaya, Sanjay M. Sisodiya, Vidar M. Steen, Dan J. Stein, Stacy Steinberg, Lachlan T. Strike, Alexander Teumer, Anbupalam Thalamuthu, Diana Tordesillas‐Gutiérrez, Jessica A. Turner, Torill Ueland, Anne Uhlmann, Magnús Ö. Úlfarsson, Dennis van ‘t Ent, Dennis van der Meer, Neeltje E. M. van Haren, Anja Vaskinn, Evangelos Vassos, G. Bragi Walters, Yunpeng Wang, Wei Wen, Christopher D. Whelan, Katharina Wittfeld, Hidenaga Yamamori, Tetyana Zayats, Ingrid Agartz, Lars T. Westlye, Sébastien Jacquemont, Srdjan Djurovic, Hreinn Stefánsson, Kāri Stefánsson, Paul M. Thompson, Ole A. Andreassen

Bibliographic record

VenueMolecular Psychiatry · 2019
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversity of CalgaryUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsReplication (statistics)Table (database)Set (abstract data type)Volume (thermodynamics)Data setBasal gangliaPsychologyInformation retrievalComputer scienceStatisticsMedicineMathematicsNeuroscienceDatabaseProgramming languagePhysicsCentral nervous system

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)0.003
metaresearch head score (Gemma)0.074
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 score0.074
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.074
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0050.002
Research integrity0.0100.012
Insufficient payload (model declined to judge)0.0740.021

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 head0.003
GPT teacher head0.229
Teacher spread0.226 · 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

Citations3
Published2019
Admission routes1
Has abstractno

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