Accepted to the Astronomical Journal on July 11, 2000 Active Galactic Nuclei in the CNOC2 Field Galaxy Redshift Survey
Bibliographic record
Abstract
We present a sample of 47 confirmed and 14 candidate Active Galactic Nuclei (AGN) discovered in the Canadian Network for Observational Cosmology field galaxy redshift survey (CNOC2). The sample consists of 38 objects identified from broad emission lines, 8 from narrow [Nev] emission, and 15 candidates from Feii or Mgii absorption lines, one of which has been confirmed as a broad-line AGN via infrared spectroscopy. Redshifts of these AGN range from z = 0.27 to z = 4.67, and the average absolute magnitude is MB ≃ −22.25, below the quasar/Seyfert division at MB = −23. Only two of the AGN are detected at radio wavelengths. We find that only 0.3±0.1 % of galaxies brighter than ∼M ∗ +1 at 0.281 < z < 0.685 contain broad-line or [Nev] AGN. We find a total surface density of 270 to 400 AGN deg −2 to R=22.09, comparable to previously published estimates. About 20 % of these AGN are classified as resolved or probably resolved in CFHT seeing and might be missed in surveys which target unresolved objects only. The sample includes several unusual objects: one with a very strong double-peaked Mgii emission line, several with unusual emission line properties, one with an Oiiiλ3133 broad absorption line, and at least one with an optical absorption-line spectrum but
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.451 | 0.182 |
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.
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.
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".