← Back to cohort
LHS 1903 provides evidence for gas-depleted formation of planets around M-dwarfs
T. G. Wilson, Anna Simpson, A. Collier Cameron, Ryan Cloutier, V. Adibekyan, A. Anna John, Y. Alibert, M. Stalport, J. A. Egger, A. Bonfanti, N. Billot, P. Guterman, P. F. L. Maxted, A. E. Simon, S. G. Sousa, M. Fridlund, M. Beck, A. Bekkelien, Sébastien Salmon, V. Van Grootel, L. Fossati, Alexander J. Mustill, H. P. Osborn, T. Zingales, M. J. Hooton, L. Affer, S. Aigrain, R. Alonso, G. Anglada‐Escudé, A. Antoniadis-Karnavas, T. Bárczy, D. Barrado, S. C. C. Barros, W. Baumjohann, T. Beck, W. Benz, Federico Biondi, X. Bonfıls, L. Borsato, A. Brandeker, C. Broeg, Lars A. Buchhave, Maximilian Buder, J. Cabrera, S Carrazco Gaxiola, S. Charnoz, David R. Ciardi, Karen A. Collins, Kevin I. Collins, R. Cosentino, Szilárd Csizmadia, Patricio E. Cubillos, S. Dalal, M. Damasso, James R. A. Davenport, M. B. Davies, M. Deleuil, L. Delrez, O. D. S. Demangeon, Brice-Olivier Demory, Victoria DiTomasso, Diana Dragomir, Courtney D. Dressing, X. Dumusque, D. Ehrenreich, A. Erikson, E. Esparza-Borges, A. Fortier, Izuru Fukuda, Akihiko Fukui, D. Gandolfi, A. Ghedina, Steven Giacalone, Holden Gill, M. Gillon, Y. Gómez Maqueo Chew, M. Güdel, P. Guerra, Maximilian N. Günther, N. Hara, A. Harutyunyan, Yuya Hayashi, R. D. Haywood, Rae Holcomb, K. Horne, S. Hoyer, Chelsea X. Huang, Masahiro Ikoma, K. Isaak, James A. G. Jackman, Jon M. Jenkins, Eric L. N. Jensen, Daniel Jontof‐Hutter, Yugo Kawai, L. L. Kiss, Ben S Lakeland, J. Laskar, David W. Latham, A. Lecavelier des Étangs, A. Leleu, M. Lendl, J. de León, Florian Lienhard, Mercedes López‐Morales, C. Lovis, Michael B. Lund, R. Luque, Demetrio Magrin, L. Malavolta, A. F. Martínez Fiorenzano, Andrew W. Mayo, M. Mayor, C. Mordasini, Annelies Mortier, F. Murgas, Norio Narita, V. Nascimbeni, Belinda Nicholson, G. Olofsson, R. Ottensamer, I. Pagano, Larissa Palethorpe, Ε. Πάλλη, H. Parviainen, M. Pedani, F. Pepe, G. Peter, M. Pinamonti, G. Piotto, D. Pollacco, E. Poretti, D. Queloz, Sam Quinn, Roberto Ragazzoni, N. Rando, David Rapetti, F. Ratti, H. Rauer, Federica Rescigno, I. Ribas, William Rice, G. Ricker, Paul Robertson, Thierry De Roche, L. Sabin, N. C. Santos, Dimitar Sasselov, Arjun B. Savel, G. Scandariato, N. Schanche, U. Schroffenegger, Richard P. Schwarz, Sara Seager, Ramotholo Sefako, D. Ségransan, Avi Shporer, André Silva, A. M. S. Smith, A. Sozzetti, M. Steller, Gyula M. Szabó, Motohide Tamura, A. Tuson, S. Udry, Andrew Vanderburg, R. Vanderspek, J. Venturini, F. Verrecchia, N. A. Walton, C. A. Watson, Robert D. Wells, Joshua N. Winn, Roberto Zambelli, Carl Ziegler
Bibliographic record
VenueResearch Square · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsMcMaster University
FundersNational Research, Development and Innovation OfficeScience and Technology Facilities CouncilFundação para a Ciência e a TecnologiaGoddard Space Flight CenterEuropean Regional Development FundUniversity of BernEuropean CommissionMinisterio de Ciencia e InnovaciónGeneralitat de CatalunyaUniversidad de La LagunaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCentres de Recerca de CatalunyaNemzeti Kutatási Fejlesztési és Innovációs HivatalUniversity of ExeterCore Research for Evolutional Science and TechnologyMinistry of Education, Culture, Sports, Science and TechnologyNational Aeronautics and Space AdministrationJapan Society for the Promotion of ScienceUK Space AgencyNational Science Foundation
KeywordsPlanetAstrophysicsAstrobiologyGas giantExoplanetBrown dwarfPhysicsAstronomy
Abstract
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 imitationNot 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)0.000
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 head0.203
GPT teacher head0.411
Teacher spread0.208 · 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 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
Citations0
Published2023
Admission routes1
Has abstractno