Bibliographic record
Abstract
Philonthus sericans (Gravenhorst 1802: 171) Distribution. Argentina, Brazil, Canada, Mexico, USA. Brazilian Biome. Atlantic forest. Locality records. AMAZONAS: Without specific locality Bernhauer and Schubert 1914: 355. SANTA CATARINA: Nova Teutônia Chani-Posse 2004: 222; Chani-Posse 2010: 57. Philonthus serraticornis Sharp 1876c: 179 Distribution. Brazil. Brazilian Biome. Amazon forest. Locality records. AMAZONAS: Tefé [Ega] Herman 2001e: 2958; Sharp 1876c: 180. WITHOUT SPECIFIC STATE: Without specific locality Blackwelder 1944: 134. Philonthus suspectus Erichson 1840: 465 Distribution. Brazil, Colombia, Guatemala, Mexico, Uruguay, Venezuela. Brazilian Biome. Atlantic forest. Locality records. SÃO PAULO: Ipiranga Lüderwaldt 1917b: 45. WITHOUT SPECIFIC STATE: Without specific locality Bernhauer and Schubert 1914: 357; Blackwelder 1944: 135; Fauvel 1891: 115; Herman 2001e: 2974; Navarrete-Heredia et al. 2002: 347; Newton et al. 2005: 43.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".