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Enumeration of the bases of the bicircular matroid on a complete bipartite graph.

2003· article· en· W932773 on OpenAlexvenueno aff
Nancy Ann Neudauer, Andrew M. Meyers, Brett Stevens

Bibliographic record

VenueArs Combinatoria · 2003
Typearticle
Languageen
FieldMathematics
TopicAdvanced Combinatorial Mathematics
Canadian institutionsnot available
Fundersnot available
KeywordsEnumerationBipartite graphMathematicsCombinatoricsMatroidComplete bipartite graphMatroid partitioningGraphOriented matroidGraphic matroid

Abstract

fetched live from OpenAlex

To evaluate the different excitability of Type 1 and Type 2 alpha-motoneurones, we analyzed comparatively the threshold and amplitude of the H-reflex and the Hmax/Mmax ratio in a slow muscle, soleus, and in a fast muscle, lateral gastrocnemius, of the rabbit. The H-reflex had almost always the same threshold in the muscles examined, but in soleus its amplitude increased much more than in lateral gastrocnemius when the stimulus intensity was increased. A clear difference in amplitude of the H-reflexes was already evident with stimuli subliminal for direct responses (M). The maximal H-reflex was always much higher in soleus than in lateral gastrocnemius. The calculation of the mean Hmax/Mmax ratio showed that it was 3 times higher in the slow than in the fast muscle. On the basis of these results, showing a clear-cut difference in the reflex excitability of slow and fast muscles and in the light of other experimental data available in the literature, we tend to conclude that Type 1 alpha-motoneurones are exclusively, or at least predominatly, depolarized by stimulation of afferent Ia fibres.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.274
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2003
Admission routes1
Has abstractyes

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