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Developmental trajectories of neuroanatomical alterations associated with the 16p11.2 Copy Number Variations

2019· article· en· W2971528011 on OpenAlexafffund
A. Cárdenas-de-la-Parra, Sandra Martin-Brevet, Clara Moreau, Borja Rodríguez‐Herreros, Vladimir Fonov, Anne Maillard, Nicole R. Zürcher, Marie‐Claude Addor, Joris Andrieux, Benoı̂t Arveiler, Geneviève Baujatm, Frédérique Sloan-Bénan, Marco Belfiore, Dominique Bonneau, Sonia Bouquillon, Odile Boute, Alfredo Brusco, Tiffany Busa, Jean‐Hubert Caberg, Dominique Campion, Vanessa Colombert, Marie‐Pierre Cordier, Albert David, François‐Guillaume Debray, Marie‐Ange Delrue, Martine Doco‐Fenzy, Ulrike Dunkhase‐Heinl, Patrick Edery, Christina Fagerberg, Laurence Faivre, Francesca Forzano, David Geneviève, Marion Gérard, Daniela Giachino, Agnès Guichet, Olivier Guillin, Delphine Héron, Bertrand Isidor, Aurélia Jacquette, Sylvie Jaillard, Hubert Journel, Boris Keren, Didier Lacombe, Sébastien Lebon, Cédric Le Caignec, Marie-Pierre Lemaître, James Lespinasse, Michèle Mathieu-Dramart, Sandra Mercier, Cyril Mignot, Chantal Missirian, Florence Petit, Kristina P. Sørensen, Lucile Pinson, Ghislaine Plessis, Fabienne Prieur, Caroline Rooryck, Massimiliano Rossi, Damien Sanlaville, Britta Schlott Kristiansen, Caroline Schluth‐Bolard, Marianne Till, Mieke M. van Haelst, Lionel Van Maldergem, Nouchine Hadjikhani, J. Beckmann, Alexandre Reymond, Bogdan Draganski, Sébastien Jacquemont, D. Louis Collins

Bibliographic record

VenueNeuroImage · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineMontreal Neurological Institute and Hospital
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthHorizon 2020National Science FoundationCompute CanadaCanadian Institutes of Health ResearchFonds de recherche du Québec – Nature et technologiesFondation LeenaardsSimons Foundation Autism Research InitiativeNational Institute on Drug AbuseInstitut de Valorisation des DonnéesNational Institute of Child Health and Human DevelopmentFondation Brain CanadaFondation Jean-Louis LévesqueNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMcGill University
KeywordsCopy-number variationNeuroscienceBiologyGeneticsGeneGenome

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 distilled prediction

Teacher imitation

Not 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 score0.534
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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 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

Citations15
Published2019
Admission routes2
Has abstractno

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