Bibliographic record
Abstract
Bithoracochaeta leucoprocta (Wiedemann, 1830) Distribution. Argentina, Brazil, Colombia, Costa Rica, Cuba, Guyana, Jamaica, Mexico, Panama, Paraguay, Peru, Puerto Rico, United States of America, Uruguay, Venezuela. ARGENTINA, Buenos Aires, Buenos Aires, -34.6700, -58.5000 (DZUP); Buenos Aires, La Germania, -34.5667, - 62.0500 (Engel 1931); Misiones, Posadas, -27.4500, -55.8300 (Malloch 1934); Salta, San José, -22.3333, -64.8000 (Engel 1931); BRAZIL, Minas Gerais, Diamantina, -18.2800, -43.6200 (DZUP); Minas Gerais, Nova Lima, - 19.9800, -43.8500 (DZUP); Paraná, Curitiba, -25.4200, -49.4200 (DZUP); Paraná, Lapa, -25.7700, -49.7300 (DZUP); Paraná, Morretes, -25.4800, -48.8200 (DZUP); Paraná, Ponta Grossa, -25.1000, -50.1600 (Costacurta et al. 2003); Paraná, Tijucas do Sul, -25.9200, -49.2000 (DZUP); Rio de Janeiro, Itatiaia, -22.5000, -44.5700 (DZUP); Rio de Janeiro, Nova Friburgo, -22.2700, -42.5700 (DZUP); Rio de Janeiro, Petrópolis, -22.5000, - 43.1000 (DZUP); Rio de Janeiro, Rio de Janeiro, -22.9028, -43.2075 (Thomson 1869); Rio de Janeiro, Teresópolis, -22.4500, -42.9800 (DZUP); Rio de Janeiro, Vassouras, -22.4200, -43.6700 (DZUP); Rio Grande do Sul, Quarai, - 30.3875, -56.4514 (DZUP); Santa Catarina, Nova Teutônia, -27.1200, -52.2800 (DZUP); São Paulo, Campos do Jordão, -22.7500, -45.5500 (DZUP); São Paulo, Itaquaquecetuba, -23.4800, -46.3500 (DZUP); São Paulo, Mogi das Cruzes, -23.5200, -46.1800 (DZUP); São Paulo, São Carlos, -22.0175, -47.8908 (Mendes & Linhares 2002); São Paulo, São José dos Campos, -23.1200, -45.8700 (DZUP); São Paulo, Sumaré, -22.8200, -47.2700 (DZUP); COLOMBIA, Valle, 10 Km W Cali, 3.4000, -76.5000 (Couri 2005a); COSTA RICA, San José, San José, 9.9330, - 84.0830 (DZUP); CUBA, Ciudad de la Habana, La Habana, 23.1170, -82.3500 (DZUP); GUYANA, Bartica, Kartabo, 5.7833, -57.6333 (Curran 1934b); JAMAICA (Curran 1928a); MEXICO, Distrito Federal, Ciudad de MEXICO, 19.4000, -99.1500 (Wulp 1896c); Distrito Federal, Durango, 24.0170, -104.6670 (MNRJ); Guerrero, Chilpancingo de los Bravos, 17.5500, -99.5000 (Wulp 1896c); Vera Cruz, Orizaba, 18.8500, -97.1330 (Wulp 1896c); PANAMA, Canal Zone, Corazal, 8.6670, -82.3330 (DZUP); PARAGUAY, Asunción, -25.2667, -57.6667 (Engel 1931); Misiones, Sapucay, -25.6700, -56.9200 (DZUP); PERU, Cuzco, Valle de Lares, -13.1300, -72.1700 (Stein 1911); Huánuco, Río Pachitea, -9.9200, -76.1800 (Stein 1911); Tingo Maria, Valle Monzon, -9.1833, - 76.2000 (Couri 2005a); PUERTO RICO (Curran 1928a); UNITED STATES OF AMERICA, Carolina do Norte (B, Southport), 33.9170, -78.0170 (DZUP); Florida, Alachua, 29.7500, -82.4170 (MNRJ); Florida, Arcadia, 27.2000, - 81.8500 (DZUP); Florida, Biscayne Bay, 25.5500, -80.2170 (DZUP); Florida, Fort Lauderdale, 26.1170, -80.1330 (DZUP); Florida, Hialeah, 25.8500, -80.2670 (DZUP); Florida, Highlands Hammock S, 27.4670, -81.5330 (DZUP); Florida, Homestead, 25.4670, -80.4670 (DZUP); Florida, Key West, 24.5500, -81.7670 (DZUP); Florida, Lakeland, 28.0330, -81.9500 (DZUP); Florida, Orlando, 28.5330, -81.3670 (DZUP); Florida, Sarasota, 27.3330, - 82.5170 (DZUP); Florida, Sebring, 27.4830, -81.4330 (DZUP); Florida, St. Augustine, 29.8830, -81.3000 (DZUP); Florida, Terra Ceia, 27.5670, -82.5670 (DZUP); Georgia (Rabun), Billy Goat Island, 34.8000, -83.5500 (DZUP); Georgia, Tifton, 31.4500, -83.5000 (DZUP); Louisiana, Calcasieu, Lago Charles, 30.2170, -93.2330 (DZUP); Louisiana, New Orleans, 29.9500, -90.0670 (DZUP); Louisiana, St. Landr, Opelousas, 30.5330, -92.0670 (DZUP); Mississipi (Harrison, Pass Christian, 30.3000, -89.2330 (DZUP); Texas, Galveston, 29.3000, -94.7830 (DZUP); URUGUAY, Montevideo, Montevideo, -34.9200, -56.1700 (Malloch 1934); VENEZUELA (Garcia 1964).
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".