Bibliographic record
Abstract
Justicia pacifica (Oerst.) Hemsl. PHENOLOGY.— Flowering: August–December; fruiting: October–November. DISTRIBUTION.— USA (Tex.), Mexico (Ags., Chih., Chis., Col., D.F., Dur., Gro., Gto., Hgo., Jal., Méx., Mich., Mor., Nay., N.L., Oax., Pue., Qro., S.L.P., Sin., Son., Tamps., Zac.), Central America. HABITAT.— Thornscrub, tropical deciduous forest, wetlands, disturbed sites. ELEVATION.— 50–600 meters. NOTES.— Daniel (2011) provided a description of J. pacifica (Fig. 4I). Other names that have been applied to this species include: J. caudata A. Gray, J. runyonii Small, and J. furcata Jacq. Mora-Olivo 5676 has elongate-linear leaves (e.g., 115 × 8 mm), and was noted to be a hydrophyte. REPRESENTATIVE SPECIMENS.— Mpio. Victoria, Cañón de Calamaco, W de Ciudad Victoria, L. García-Morales 854b (ITCV); 1 km S de Santa Librada, L. García-Morales 4647 (ITCV); Mpio. Villagrán, Rancho 3 de Marzo, L. García-Morales, s.n. (ITCV); 37 mi from Tampico on Monte hwy., M. Johnston 4092 (US); KM 647 on top of Mesa de Llera, M. Johnston & J. Graham 4403 (US); 4 mi N of Tomaseño on Victoria–Villagrán hwy., M. Johnston & J. Graham 4678 (US); 2 mi W of Mante–Victoria hwy. on rd. to Gómez Farías, M. Johnston & J. Crutchfield 5731 (US); KM 678, hwy. Mexico to Laredo, I. Langman 3000 (US); Cuesta de Llera, KM 660 of hwy., C. Lundell & A. Lundell 12488 (US); Mpio. Victoria, Ejido Santa Ana, 23°52.0ʹN, 099°13.6ʹW, J. Martínez s.n. (UAT); Mpio. Villagrán, Ejido Campoamor, 24°29.3ʹN, 099°18.3ʹW, A. Mora-Olivo 1289 (UAT); Mpio. Abasolo, Río Soto la Marina, a la izquierda de la cabecera municipal de Abasolo, 24°02.4ʹN, 098°22.9ʹW, A. Mora-Olivo 5676 (MEXU, UAT); Mpio. Llera, Ejido La Antostura, rumbo al Río Guayalejo, 23°02ʹ06ʺN, 099°00ʹ42ʺW, A. Mora-Olivo 7763 (UAT); Río Sabinas, “ Rancho de Las Calavasas,” opposite KM 619 on Pan American Hwy., N of El Limón, A. Sharp & E. Hernández X. 50/50385 (MEXU).
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.018 |
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".