Bibliographic record
Abstract
Leander tenuicornis (Say, 1818 [in Say, 1817-1818) Examined material. Municipality of Calçoene: Mouth of Cassiporé River, State of Amapá (03°52’53,40”N, 51°08’36,03”W), 1 male and 1 female (IEPA1625) (Figure 2). Geographic distribution. Western Atlantic Ocean - Canada, USA (Massachusetts, Virginia, Carolina, Florida, Louisiana and Texas), Bermudas, Mexico, Panama, Bahamas, Cuba, Jamaica, Porto Rico, Island Virginia, Colombia, Venezuela, Brazil (states of Maranhão, Piauí, Ceará, Rio Grande do Norte, Paraíba, Pernambuco [Atol das Rocas], Alagoas, Sergipe, Bahia, Espírito Santo, Rio de Janeiro and São Paulo), Malvinas Islands. Eastern Atlantic Ocean: Azores archipelago, Portugal. Mediterranean- Spain, France, Italy and Libya. Pacific and Indian Ocean - Red Sea, India, Japan, Papua New Guinea, Australia and New Zealand (Ferreira et al. 2010; Herrera-Barquín et al. 2018; Ramos-Porto 1985). Distribution in Amapá state. Estuary of the Cassiporé River. Previous records. present study Ecological notes. Species found in shallow waters, up to 72 m deep, on gravel, sandy bottoms with algae meadows and/or phanerogams (Ramos-Porto 1985). In the Cassiporé River estuary, it was found in mangrove areas and river with very mud. Remarks. Leander tenuicornis presents sexual dimorphism in relation to the shape of the face, in the female the rostrum is wider in the ventral part (Ferreira et al. 2010).
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".