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Record W6969329526 · doi:10.5281/zenodo.5159785

Hypogastrura tullbergi

2017· article· fr· W6969329526 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languagefr
FieldComputer Science
TopicCryptography and Residue Arithmetic
Canadian institutionsnot available
Fundersnot available
KeywordsPlateau (mathematics)Period (music)Indian oceanQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Hypogastruratullbergi (Schäffer, 1900) * Achorutes tullbergi Schäffer, 1900a: 244. Achorutes dubius Moniez, 1889: 261. Hypogastrura dubia – Denis 1924d: 290. Hypogastruratullbergi – Remy 1928: 60. Proxenyllodes aberrans Cassagnau, 1952a: 309. DISTRIBUTION. — France. Denis 1924d (H. dubia). Ariège. Caumont, Moulis, Massat, Varilhes et Bélesta (Cassagnau, 1973). — Caumont, Moulis, Massat, Varilhes, Fontaine de Fontestorbes et Toubière du Pinet (Cassagnau & Dalens 1976). — Tourbière du Pinet, plateau de Sault (Lauga-Reyrel 1979, 1981, 1984). — Fontaine de Fontestorbes à Bélesta (Lauga-Reyrel 1979, 1981, 1984; Dalens 1982; Dalens & Cugny 1986). Aude. Montagne Noire, versant sud près de Camarès, vallée de Clamoux, maison forestière de Bibaud et valléede l’Argent double (Cassagnau & Dalens 1976). — Tourbière du Pinet (Najt & Dalens 1979). — Tourbière du Pinet à Belcaire, Col de Jau (Lauga-Reyrel 1979, 1981, 1984; Dalens & Cugny 1986). — Ussonet Carcanet (Bonnet etal. 1979). Bouches-du-Rhône. Camargue (Poinsot 1973). — Plateaudu Petit Arbois (Cortet & Poinsot-Balaguer 1998). Corse. Poinsot-Balaguer 1978. Essonne. Parcdu Laboratoiredu MNHN, Brunoy (Thibaud 1970). Haute-Garonne. Boisde Saint-Jeandel’Union (Cassagnau 1952a, P. aberrans). — Toulouse, jardin (Thibaud & Vannier 1980; Lauga- Reyrel 1979, 1981, 1984). — Toulouse (Cassagnau & Raynal 1964; Dalens & Vannier 1979; Dalens 1982; Dalens & Cugny 1986; Cassagnau & Juberthie 1967a). — Saint-Jeandel’Unionet Toulouse (Cassagnau & Dalens 1976). Hautes-Pyrénées. Pla des Gendarmes dans la Haute vallée d’Aure (Raynal 1964; Cassagnau & Raynal 1964; Lauga-Reyrel 1979, 1981, 1984). — Valléede Couplan, Pla des Gendarmes et vallée du Badet (Cassagnau 1973). — Vallées de Couplan et du Badet (Cassagnau & Dalens 1976). — Pla des Gendarmes à Aragnouet (Dalens & Cugny 1986). — Pla d’Engaly (Bonnet et al. 1979). Nord. Puits près de Lille (Moniez 1890a, A. dubius). Pyrénées-Orientales. Col de Jau et forêt de la Massane près de Banyuls-sur-Mer (Cassagnau 1973; Cassagnau & Dalens 1976). — Forêtde hêtres, la Massane, 630 m, prèsde Banyuls-sur-Mer (Izarra 1980). — Station de skide Calmazeille-Formiguères (Gers & Izarra 1983). Tarn, Aude. Montagne Noire (Cassagnau 1965). Tarn. Montagne Noire à Cammazes (Dalens & Cugny 1986). TAXONOMIE. — Raynal 1964 (redescription). CHÉTOTAXIE, MORPHO- ANATOMIE. — Najt & Dalens 1979 (anomalies morphologiques); Dalens & Cugny 1986 (biométrie); Najt etal. 1984 (polymorphisme, sous-groupe tullbergi). DÉVELOPPEMENT. — Cassagnau 1973 (écologie, cycle de développement, mue, ponte). PHYSIOLOGIE. — Cassagnau & Juberthie 1967a (complexe endocrine cérébral). ÉCOMORPHOSE. — Cassagnau & Raynal 1964; Cassagnau & Dalens 1976 (cycle phénologique, mueet ponte); Dalens & Vannier 1979 (eau); Lauga-Reyrel 1979, 1981, 1984 (histophysiologie). ÉCOLOGIE. — Bonnet etal. 1979 (déboisement, reboisement); Cassagnau 1965 (écologie, sol); Thibaud 1970; Poinsot 1973; Cortet & Poinsot-Balaguer 1998 (décompositiondelitières); Gers & Izarra 1983 (biocénose); Najt etal. 1984 (sous-groupe tullbergi). DONNÉES MOLÉCULAIRES. — Dalens 1982 (acides aminés libres). REMARQUE. — Cette espèce serait arctiqueet doncnon présente en France (Najt etal. 1984).

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.004

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.

Opus teacher head0.052
GPT teacher head0.259
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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