Macrobiotus occidentalis Kaczmarek 2017, sensu lato
Bibliographic record
Abstract
132. Macrobiotus occidentalis Murray, 1910 sensu lato [T] Macrobiotus occidentalis J. Murray 1910, Macrobiotus occidentalis J. Murray 1910 betschârensis nov. var. (Rahm 1936) Macrobiotus occidentalis J. Murray 1910 (da Cunha & do Nascimento 1964) Terra typica: British Columbia (Canada, North America) Angola: • 07°47′S, 15°01′E; 650 m asl: Uíge Province, near Carmona [Uíge], Estate at Pumba Loge, lichens. da Cunha & do Nascimento (1964) • 15°01′S, 13°22′E; 1,950 m asl: Huíla Province, Sá da Bandeira [Lubango], Boca da Humpata, lichens. da Cunha & do Nascimento (1964) Israel and Palestinian National Authority: • 31°47′N, 35°15′E; 800 m asl: Judean Mountains, Jerusalem, Olives Mt., Pater Noster church, Russians tower, wall of church, moss (Syntrichium sp.) or lichen (Xanthoria parietina). Rahm (1936) • 31°46′N, 35°13′E; 800 m asl: Undefined locality, “Betschar bei Kilometer 22”, moss (Syntrichium sp.) or lichen (Xanthoria parietina). Rahm (1936) Tanzania: • 03°12′S, 37°31′E; ca. 2,500 m asl: Kilimanjaro Region, Kilimanjaro National Park, Maranda [Mandara] trail, tree line, benthos sample from river. Van Rompu et al. (1991a) Record numbers. Angola: 2, Israel and Palestinian National Authority: 2, Tanzania: 1; total: 5. Remarks. Macrobiotus occidentalis sensu lato is largely Holarctic (McInnes 1994), with a few southern hemisphere reports. The possibility of a species complex would indicate these African specimens should be reexamined.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.008 |
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".