APPENDIX 1 in A revision of Scipopus Enderlein including the subgenera Scipopus s. str., Phaeopterina Frey and Parascipopus subgen. nov. (Diptera, Micropezidae, Taeniapterinae)
Bibliographic record
Abstract
APPENDIX 1 (continued on next seven pages) List of sequenced material in the Scipopus group from dataset DS-SCIPOPUS on BOLD. Taxon SCIPOPUS s. str.Process IDSample IDGene sequence length (bp)BIN (BOLD:)CO1-5′CO1-3′28S-528S-328S-212SScipopus (Scipopus) belzebul (Schiner)MYCRO551-19debu01088997658[0n]n/an/an/an/an/aAEA6259MYCRO528-19debu01088988658[0n]n/an/an/an/an/aAEA6259Scipopus (Scipopus) brikelos sp. nov.MYCRO560-19debu00206321658[0n]n/an/an/an/an/aADL7722MYCRO549-19debu01089003658[0n]n/an/an/an/an/aADL7722GMCCE108-17BIOUG36554-D09589[0n]n/an/an/an/an/aADL7722Scipopus (Scipopus) calocephalus (Bigot)MYCRO554-19debu00332183658[0n]n/an/an/an/an/aACO1049MYCRO552-19debu01088998658[0n]n/an/an/an/an/aACO1049MYCRO529-19debu01088989658[0n]n/a611[0n]550[0n] 593[1n]n/aACO1049MYCRO513-19debu00138137658[1n]n/an/an/an/an/aACO1049TAE044-14TAE1121488[28n]n/an/an/an/a373[0n]ACO1049MYCRO029-15UGIC128-15658[0n]n/an/an/an/an/aACV1535MYCRO814-20DEBU00380052658[0n]n/an/an/an/an/aACV1535MYCRO644-20debu001383490n/an/an/an/an/aNo BINMYCRO563-19debu001383560n/an/an/an/an/aNo BINScipopus (Scipopus) cartaboensis CressonMYCRO556-19debu00379474658[0n]n/an/an/an/an/aAEA6261MYCRO530-19debu00280298658[0n]n/an/an/an/an/aAEA6261MYCRO171-15UGIC270-15658[0n]n/an/an/an/an/aACW6270Scipopus (Scipopus) chalybeus HennigMYCRO647-20debu01089060658[0n]n/an/an/an/an/aACW1416MYCRO820-20DEBU00402373658[0n]n/an/an/an/an/aACW1416MYCRO646-20debu01089059658[1n]n/an/an/an/an/aAEC9078MYCRO645-20debu00289616658[0n]n/an/an/an/an/aAED0318MYCRO822-20DEBU00281719640[0n]n/an/an/an/an/aAED0318MYCRO825-20DEBU00282029639[0n]n/an/an/an/an/aAED0318
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.422 | 0.224 |
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".