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Record W2922220283 · doi:10.1016/j.bpsc.2019.02.006

Low Smoking Exposure, the Adolescent Brain, and the Modulating Role of CHRNA5 Polymorphisms

2019· article· en· W2922220283 on OpenAlexaff
Bader Chaarani, Kees‐Jan Kan, Scott Mackey, Philip A. Spechler, Alexandra Potter, Catherine Orr, Nicholas D’Alberto, Kelsey Hudson, Tobias Banaschewski, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Jürgen Gallinat, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean‐Luc Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Michael N. Smolka, Henrik Walter, Robert Whelan, Stephen T. Higgins, Günter Schumann, Robert R. Althoff, Elliot A. Stein, Hugh Garavan, Karl Mann, Maren Struve, Marcella Rietschel, Rainer Spanagel, Mira Fauth‐Bühler, Sabina Millenet, Yvonne Grimmer, Nikolay Ivanov, Nicole Strache, Michael A. Rapp, Andreas Ströhle, J.H. Reuter, Alexis Barbot, Benjamin Thyreau, Yannick Schwartz, Christophe Lalanne, Zuleima Bricaud, Fanny Gollier Briand, Hervé Lemaître, Jessica Massicotte, Hélène Vulser, Jani Pentillä, A. Galinowski, Tianye Jia, Helen Werts, Lauren Topper, Laurence Reed, Chris Andrew, Catherine Mallik, Barbara Ruggeri, Charlotte Nymberg, Lindsay Smith, Eva Loth, Stephanie Havatzias, Kerstin Stueber, Argyris Stringaris, Patrick Constant, Ruediger Brühl, Albrecht Ihlenfeld, Bernadeta Walaszek, Thomas Hübner, Kathrin Müller, Stephan Ripke, Sarah Rodehacke, Eva Mennigen, Dirk Schmidt, Nora C. Vetter, Veronika Ziesch, Jennifer Jones, Jean‐Baptiste Poline, Tahmine Fadai, Juliana Yacubian, Sophia Schneider, Claire Lawrence, Craig Newman, Kay Head, Nadja Heym, Zdenka Pausová, Amir Tahmasebi

Bibliographic record

VenueBiological Psychiatry Cognitive Neuroscience and Neuroimaging · 2019
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of TorontoBaycrest HospitalUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute on Drug AbuseNational Institute of Mental HealthMedical Research CouncilNational Institutes of HealthNational Institute of General Medical SciencesNational Institute for Health and Care ResearchBundesministerium für Bildung und ForschungSvenska Forskningsrådet FormasKing's College LondonDeutsche ForschungsgemeinschaftEuropean CommissionWellcome Trust
KeywordsNicotineNicotinic agonistMechanism (biology)NeuropsychologyNeuroscienceAddictionVentromedial prefrontal cortexCorpus callosumPsychologyNeuroimagingMedicinePrefrontal cortexClinical psychologyCognitionInternal medicineReceptor

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.280
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; 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

Citations32
Published2019
Admission routes1
Has abstractno

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