Table 1 in A revision of the genus Rudolfina Roháček (Sphaeroceridae: Limosininae)
Bibliographic record
Abstract
Table 1. Character states used in the phylogenetic analysis of Rudolfina Roháček, 1987. Character01 02 03 04 0506 07 08 09 1011 12 13 14 1516 17 18 19 2021 22 23 24 2526 27 28 29 3031 32 33 34 3536outgroup2000000000000000000000000?0000000000R. bucki sp. nov.301001010111101111100000????????????R. cavernicola Marshall & Fitzgerald, 1997201001110010000010011001101110010101R. digitata Marshall, 1991201001010010001010112001111110010111R. exuberata sp. nov.210111020000111101100010111110111111R. howdeni sp. nov.202001011010011110100000111111010111R. megepandria sp.nov.302001010111011011100000111110010111R. newtoni sp. nov.111001021000100010100010101111110111R. pauca sp. nov.110001020010111101100110111110111111R. pilosa sp. nov.301001021010100110100100????????????R. remiforma sp. nov.200111010000111110100010111110111111R. rozkosnyi Roháček, 1975201001010010001010112001101110010111R. tumida sp. nov.0010010101000111101121101????????????
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".