DEDECTIVE MITES MYIANOETUS MUSCARUM (LINNAEUS, 1758) HISTIOSTOMATIDAE (ACARI: ASTIGMATA)
Bibliographic record
Abstract
Generallyforensic entomologists focus on insects such as blow flies or beetles inresearch. But mites are potential used as evidence in death many investigations.Mites are associated ephemeral decomposition habitats such as fungi, dung,decaying vegetation, and carrion and Mites are use as evidence in forensicinvestigations. For example: The mite, known as Myianoetus muscarum (Linnaeus,1758) feeds on vertebrate carrion, including human remains. This species ispreviously reported from California and Ontario, Canada, and collected from ahuman corpse in Texas. In addition, itwas found on corpses in association with a fly Synthesiomyia nudisetaWulp (Diptera: Muscidae). Between mite and fly relationship is called phoresy.M. muscarum (mite) is using the fly to get to next host. In the future we canuse to estimate this relationship between the specieses in the forenscic case.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".