Bibliographic record
Abstract
Phanocerus Sharp, 1882 Phanocerus bugnioni Grouvelle, 1902 Phanocerus bugnioni Grouvelle, 1902:466 COLOMBIA:?—Grouvelle (1902), Blackwelder (1944). Phanocerus charopus Spangler, 1966 Phanocerus charopus Spangler, 1966:413 PERU: Tulumayo—Spangler (1966). Phanocerus clavicornis Sharp, 1882 Phanocerus clavicornis Sharp, 1882:129 BELIZE: Stann Creek—Spangler and Santiago–Fragoso (1992). BRAZIL: Santa Catarina: Nova Teutônia, Amazonas: Presidente Figueiredo, Rio de Janeiro: Angra dos Reis, Guapimirim, Itatiaia, Macaé, Nova Friburgo, Parati, Rio de Janeiro—Hinton (1937b), Spangler and Santiago– Fragoso (1992), Passos et al. (2009), Passos et al. (2010). COSTA RICA: Alajuela, Cartago, Guanacaste, Heredia, Limón, San José—Spangler and Santiago–Fragoso (1992). CUBA: Cienfuegos, Guantánamo, Isla de Pinos, Oriente, Pinal del Río, Santiago de Cuba, Villa Clara—Spangler and Santiago–Fragoso (1992), Shepard and Megna (2006). DOMINICAN REPUBLIC: Duarte, La Vega, Puerto Plata, San Cristóbal, Santiago—Spangler and Santiago– Fragoso (1992). GUATEMALA: Cobán, Alta Vera Paz, El Progresso, Guatemala, San Marcos, Santa Rosa, Suchitepequez—Sharp (1882), Spangler and Santiago–Fragoso (1992). HAITI: Departament du Sud, La Hotte—Spangler and Santiago–Fragoso (1992). HONDURAS: El Paraíso, Francisco Morazón, Yoro—Spangler and Santiago–Fragoso (1992). JAMAICA: St. Andrew Parish, St. Elizabeth Parish—Schaeffer (1911), Spangler and Santiago–Fragoso (1992). MEXICO: Chiapas, Colima, Guerrero, Galeana, Hidalgo, Nuevo León, Puebla, Querétaro, San Luis Potosí, Tamaulipas, Veracruz—Spangler and Santiago–Fragoso (1992). PANAMA: Bocas del Toro, Canal Zone, Chiriquí, Cocle, Panama—Spangler and Santiago–Fragoso (1992). PUERTO RICO: El Yunque, Las Marías, Maricao, Mayaquez—Spangler and Santiago–Fragoso (1992). VENEZUELA: Amazonas, Barinas, Bolivar, Mérida, Monagas, Táchira, Zulia—Maier (2013). Phanocerus congener Grouvelle, 1898 Phanocerus congener Grouvelle, 1898:46 BELIZE: Belize River—Shepard (2004). ECUADOR: Napo, Yasuni—Monte and Mascagni (2012). GRENADA: Baltazar—Grouvelle (1898), Darlington (1936), Hinton (1971d). TOBAGO: Providence River—Hinton (1971d). TRINIDAD: Maracas Valley—Hinton (1971d). VENEZUELA: Aragua, Barinas, Falcón, Tujillo, Zulia—Maier (2013). Phanocerus rufus MaIer, 2013 Phanocerus rufus Maier, 2013:72 VENEZULEA: Aragua, Monagas, Trujillo, Barinas—Maier (2013). Phanocerus sharpi Grouvelle, 1898 Phanocerus sharpi Grouvelle, 1898:8 ARGENTINA: Misiones—Fernandez et al. (2008), Manzo and Archangelsky (2012). PARAGUAY: Concepción—Shepard and Julio (2010). URUGUAY:?—Grouvelle (1898).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.135 | 0.049 |
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; both teacher heads agree on what is shown here.
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".