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Record W7071109841

Rehearsal Vienna VCI talk Peter Schade

2010· other· en· W7071109841 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Linear Collider · 2010
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsCzechPhoneBridge (graph theory)Special sectionKingdom
DOInot available

Abstract

fetched live from OpenAlex

Hello Jan Timmermans,\nYou have BOOKED a meeting in EVO (http://evo.caltech.edu).\n\nTitle: Rehearsal Vienna VCI talk Peter Schade\nDescription: Rehearsal Vienna VCI talk by Peter Schade\nCommunity: ILC\nPassword: lctpc\n\nMeeting Access Information:\n- Meeting URL\n http://evo.caltech.edu/evoGate/koala.jnlp?meeting=vsvivIeneMIuIMala9Itas\n\n- Password: lctpc\n- Phone Bridge\n ID: 1600319\n Password: 2192\n\nCentral European Time (+0100)\n Start 2010-02-09 09:30\n End 2010-02-09 11:30\n\nJapan Standard Time (+0900)\n Start 2010-02-09 17:30\n End 2010-02-09 19:30\n\nEastern Standard Time (-0500)\n Start 2010-02-09 03:30\n End 2010-02-09 05:30\n\nPacific Standard Time (-0800)\n Start 2010-02-09 00:30\n End 2010-02-09 02:30\n\n\nEVO Phone Bridge Telephone Numbers:\n---------------\n- USA (Caltech, Pasadena, CA)\n +1 626 395 2112\n\n- Switzerland (CERN, Geneva)\n +41 22 76 71400\n\n- Slovakia (UPJS, Kosice)\n +421 55 234 2420\n\n- Italy (INFN, several cities)\n http://server10.infn.it/video/index.php?page=telephone_numbers\n Enter '4000' to access the EVO bridge\n\n- Germany (DESY, Hamburg)\n +49 40 8998 1340\n\n- USA (BNL, Upton, NY)\n +1 631 344 6100\n\n- United Kingdom (University of Manchester)\n +44 161 306 6802\n\n- Australia (ARCS)\n +61\n Adelaide 08 8463 1011\n Brisbane 07 3139 0705\n Canberra 02 6112 8742\n Hobart 03 623 70281\n Melbourne 03 8685 8362\n Perth 08 6461 6718\n Sydney 02 8212 4591\n\n- Netherlands (Nikhef, Amsterdam)\n +31 20 7165293\n Dial '2' at the prompt\n\n- Canada (TRIUMF, Vancouver)\n +1 604 222 7700\n\n- Czech Republic (CESNET, Prague)\n +420 95 007 2386\n\n---------------\n

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.227
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.7730.706

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 head0.006
GPT teacher head0.270
Teacher spread0.265 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2010
Admission routes1
Has abstractyes

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