Bibliographic record
Abstract
Columbicola baculoides (Paine, 1914) Lipeurus baculoides Paine, 1914: 174, figs 95a–e. Columbicola baculoides (Paine, 1914); Hopkins & Clay 1952: 86. Columbicola baculoides (Paine, 1914); Tendeiro 1965b: 183, figs 52–55, photos 68–72, 203. Columbicola baculoides (Paine, 1914); Palma 1973: 487, figs 3–5. Columbicola baculoides (Paine, 1914); González-Acuña 1997: 72. Columbicola baculoides (Paine, 1914); Clayton & Price 1999: 678, figs 15–21. Columbicola baculoides (Paine, 1914); Price et al. 2003: 166. Columbicola baculoides (Paine, 1914); González-Acuña et al. 2004b: 38. Type host: Zenaida macroura (Linneaus, 1758). Chilean host: Zenaida auriculata auriculata (des Murs, 1847). Other hosts: Columba picazuro Temminck, 1813; Columbina picui Temmnick, 1813; Leptotila verreauxi chalcauchenia (Sclater & Salvin, 1870). Chilean locality: Ñuble: Region XVI. Geographic distribution: South America. Chilean references: Tendeiro (1965b); González-Acuña (1997); Clayton & Price (1999); González-Acuña et al. (2004b). Other significant references: Palma (1973); Price et al. (2003); Adams et al. (2005: 3551); Galloway & Palma (2008: 215). Remarks: Galloway & Palma (2008: 215) provided ecological data on Columbicola baculoides collected from Zenaida macroura in Manitoba, Canada.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".