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Record W4289258829 · doi:10.1051/0004-6361/201322700

Ionization compression impact on dense gas distribution and star formation

2014· article· en· W4289258829 on OpenAlexaff
Pascal Tremblin, N. Schneider, V. Minier, P. Didelon, T. Hill, L. D. Anderson, F. Motte, A. Zavagno, Ph. André, D. Arzoumanian, E. Audit, M. Benedettini, S. Bontemps, T. Csengeri, James Di Francesco, T. Giannini, M. Hennemann, Q. Nguyễn Lương, A. P. Marston, N. Peretto, A. Rivera-Ingraham, D. Russeil, K. L. J. Rygl, L. Spinoglio, G. J. White

Bibliographic record

VenueAstronomy and Astrophysics · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of TorontoHerzberg Institute of Astrophysics
FundersNational Astronomical Observatories, Chinese Academy of SciencesMax-Planck-Institut für AstronomieScience and Technology Facilities CouncilCentre National d’Etudes SpatialesBundesministerium für Verkehr, Innovation und TechnologieCentre National de la Recherche ScientifiqueKU LeuvenNational Aeronautics and Space AdministrationCalifornia Institute of TechnologyAgence Nationale de la RechercheImperial College LondonUK Space Agency
KeywordsIonizationCompression (physics)Probability density functionStar formationDistribution functionPhysicsFunction (biology)Distribution (mathematics)Atomic physicsAstrophysicsStarsIonMathematicsStatisticsThermodynamicsQuantum mechanicsMathematical analysis

Abstract

fetched live from OpenAlex

Aims. Ionization feedback should impact the probability distribution function (PDF) of the column density of cold dust around the ionized gas. We aim to quantify this effect and discuss its potential link to the core and initial mass function (CMF/IMF).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.812

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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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 designOther design
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

Citations93
Published2014
Admission routes1
Has abstractyes

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