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Record W2949062222 · doi:10.1139/cjp-2018-0867

Investigation of amino acetonitrile (NH<sub>2</sub>CH<sub>2</sub>CN) — a precursor of glycine, in the interstellar medium

2019· article· en· W2949062222 on OpenAlexvenueno aff
Mohit Kumar Sharma

Bibliographic record

VenueCanadian Journal of Physics · 2019
Typearticle
Languageen
FieldChemistry
TopicMolecular Spectroscopy and Structure
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsGround stateAcetonitrileAtomic physicsRadiative transferDipoleLine (geometry)Interstellar mediumRotational transitionElectric dipole momentSpectral lineAnalytical Chemistry (journal)AstrophysicsAngular momentumGalaxyChemistryOptics

Abstract

fetched live from OpenAlex

Known values of rotational and centrifugal distortion constants, in conjunction with electric dipole moment, have been used to calculate energies for the ground rotational levels, ground vibrational state, and ground electronic state of amino acetonitrile (NH 2 CH 2 CN), which is of interest for studies of life in the universe. Probabilities for radiative transitions between the rotational levels are also calculated. Such transition probabilities are used in conjunction with scaled values for the collisional rate coefficients for large velocity gradient calculations. A line 1 10 –1 11 at 450.31 MHz is found to show anomalous absorption. Two observed lines 9 09 –8 08 at 80.947 GHz and 12 0,12 –11 0,11 at 107.283 GHz, and another nine lines, 9 18 –8 17 , 7 16 –6 15 , 8 17 –7 16 , 9 19 –8 18 , 10 19 –9 18 , 8 08 –7 07 , 10 0,10 –9 09 , 11 0,11 –10 0,10 , and 7 07 –6 06 , are found to show emission features. There are several other observed lines, which are found weaker than these 11 lines. These 10 additional lines may help in the identification of amino acetonitrile in the interstellar medium.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.751

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 science0.0010.000
Research integrity0.0000.001
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 head0.199
Teacher spread0.192 · 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 designBench or experimental
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

Citations1
Published2019
Admission routes1
Has abstractyes

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