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Record W2939399083 · doi:10.3847/1538-3881/ab16e9

The Gemini Planet Imager Exoplanet Survey: Giant Planet and Brown Dwarf Demographics from 10 to 100 au

2019· article· en· W2939399083 on OpenAlexaff
E. Nielsen, Robert J. De Rosa, Bruce Macintosh, Jason Wang, Jean-Baptiste Ruffio, Eugene Chiang, Mark S. Marley, D. Saumon, Dmitry Savransky, S. Mark Ammons, Vanessa P. Bailey, Travis Barman, Célia Blain, J. Bulger, Adam Burrows, Jeffrey Chilcote, Tara Cotten, Ian Czekala, René Doyon, Gaspard Duchêne, Thomas M. Esposito, Daniel C. Fabrycky, Michael P. Fitzgerald, Katherine B. Follette, Jonathan J. Fortney, Benjamin L. Gerard, Stephen J. Goodsell, James R. Graham, Alexandra Z. Greenbaum, Pascale Hibon, Sasha Hinkley, Lea A. Hirsch, Justin Hom, Li-Wei Hung, Rebekah I. Dawson, Patrick Ingraham, Paul Kalas, Quinn Konopacky, James E. Larkin, Eve J. Lee, Jonathan Lin, Jérôme Maîre, Franck Marchis, Christian Marois, Stanimir Metchev, Maxwell A. Millar‐Blanchaer, Katie M. Morzinski, Rebecca Oppenheimer, D. M. Palmer, Jennifer Patience, Marshall D. Perrin, Lisa Poyneer, Laurent Pueyo, Roman R. Rafikov, Abhijith Rajan, Julien Rameau, Fredrik T. Rantakyrö, Bin Ren, Adam C. Schneider, Anand Sivaramakrishnan, Inseok Song, Rémi Soummer, Melisa Tallis, Sandrine Thomas, Kimberly Ward-Duong, Schuyler Wolff

Bibliographic record

VenueThe Astronomical Journal · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsWestern UniversityUniversity of VictoriaUniversité de MontréalHerzberg Institute of Astrophysics
FundersLawrence Livermore National LaboratoryComisión Nacional de Investigación Científica y TecnológicaScience and Technology Facilities CouncilScience Mission DirectorateJet Propulsion LaboratoryOffice of ScienceMinisterio de Ciencia, Tecnología e Innovación ProductivaNational Radio Astronomy ObservatoryNational Aeronautics and Space AdministrationMinistério da Ciência, Tecnologia e InovaçãoNASA Exoplanet Science InstituteSpace Telescope Science InstituteNational Science FoundationEuropean Space AgencyU.S. Department of EnergyCalifornia Institute of TechnologyPennsylvania Space Grant Consortium
KeywordsExoplanetPhysicsPlanetDemographicsAstrobiologyAstronomyBrown dwarfGiant planetAstrophysicsPlanetary system

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.001
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.219
Teacher spread0.206 · 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

Citations469
Published2019
Admission routes1
Has abstractyes

Explore more

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