Bibliographic record
Abstract
Coproica hirticula Collin, 1956 Material examined. Cattle farm: COASTAL MESETA. 1♀, Aït Messaoud Village (31°43'36.0"N 8°05'14.3"W), 26.IV.2019. 10♂♂, 3♀♀, Birjdid Village (33°22'06.7"N 8°00'52.8"W), 21.I.2019. 2♂♂, 4♀♀, Safi City (32°23'53.0"N 9°10'39.0"W), 7.XI.2018. 10♂♂, 5♀♀, Lmchawir Village (32°46'23.1"N 8°29'06.5"W), 17.I.2019. 1♂, 1♀, Mazagan Sea (33°16'24.3"N 8°22'13.9"W), 8.XI.2018. MIDDLE ATLAS. 2♂♂, 3♀♀, Elksiba Village (32°34'10.9"N 6°02'43.1"W), 7.XI.2018. RIF. 2♂♂, 4♀♀, Aïn Zarka Village (35°31'12.7"N 5°20'42.8"W), 23.XII.2018. 1♀, Bab Taza Village (35°02'43.2"N 5°13'47.8"W), 28.IV.2019. 1♀, Boujarah Village (35°34'38.7"N 5°19'02.5"W), 6. V.2019. 24♂, 17♀♀, Ben Karrich Village (34°49'55.2"N 4°58'30.0"W), 19.IV.2019. 1♂, 1♀, Moulay Yaakoub Village (34°11'16.2"N 4°58'51.0"W), 7.XI.2018. 1♀, Gouarat Village (35°40'38.6"N 5°52'21.6"W), 3. VI.2019. Equine: COASTAL MESETA. 1♂, 2♀♀, El Ghorba Village (31°57'29"N 6°32'06"W), 9.XII.2018. RIF. 1♂, Ben Karrich Village (34°49'55.2"N 4°58'30.0"W), 21.IV.2019. 1♂, Dghalyen Village (35°51'03.5"N 5°23'16.6"W), 1. V.2019. Goat farm: RIF. 64♂♂, 70♀♀, Al Kachla Village (35°50'40.6"N 5°23'12.6"W), 4. V.2019. 1♂, Mansoura Village (34°50'02.9"N 4°57'49.7"W), 17. V.2021. 2♂♂, 5♀♀, Bab Taza Village (35°02'43.2"N 5°13'47.8"W), 28.IV.2019. Sheep husbandry: COASTAL MESETA. 22♂♂, 9♀♀, Nahda Village (32°14'22.9"N 8°33'12.2"W), 21.I.2020. 52♂♂, 40♀♀, Oulad Abbou Village (33°06'59.8"N 7°56'13.4"W), 3.III.2019. MIDDLE ATLAS. 2♀♀, Elksiba Village (32°34'10.9"N 6°02'43.1"W), 7.XI.2018. RIF. 1♂, Afrasso Village (35°51'37.4"N 5°23'16.0"W), 3. V.2019. 1♂, Dghalyen Village (35°51'03.5"N 5°23'16.6"W), 1. V.2019. 10♂♂, 18♀♀, Mansoura Village (34°50'02.9"N 4°57'49.7"W), 15. V.2021. Distribution in Morocco. RIF. Zarka waterfall; ANTI ATLAS. Errachidia (Gatt et al., 2016). General distribution. Australasian/Oceanic – Australia, New Zealand; Nearctic – Canada; Neotropical – Argentina, Barbados, Brazil, Colombia, Guatemala, Jamaica, Mexico (HID); Oriental – China, Taiwan; Palaearctic – Belgium, Bulgaria, Canary Is. (Spain), Czech Republic, Denmark, Germany, Great Britain, Greece (Crete), Finland, Hungary, Italy, Israel, Japan, Malta, Norway, Poland, Roumania, Slovakia, Spain (incl. Balearic Is.), Sweden, Switzerland (Roháček et al., 2001). Morocco (Kettani et al., 2022). Biology. We found it with cattle, sheep, equine, and goat farms. It is common, chiefly coprophagous but also on carrion and decayed vegetation, cow houses, pastures, grass compos, potato and rape fields (Floren, 1989).
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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.014 | 0.004 |
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".