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Record W7036400965

CALICE Analysis and Software phone meeting

2012· other· en· W7036400965 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Linear Collider · 2012
Typeother
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
Fundersnot available
KeywordsPhoneSession (web analytics)SoftwareService (business)Phone callJoin (topology)Check-in
DOInot available

Abstract

fetched live from OpenAlex

-------------------------------------------------------\nMeeting information\n-------------------------------------------------------\nTopic: CALICE Analysis + Software\nDate: Wednesday, 27 June 2012\nTime: 13:00, GMT Summer Time (London, GMT+01:00)\nMeeting Number: 759 895 076\nMeeting Password: Delice.1\n\n-------------------------------------------------------\nTo start or join the online meeting\n-------------------------------------------------------\nGo to https://ilc.webex.com/ilc/j.php?ED=166325422&UID=482579167&PW=NMWY5NGQwNDgy&RT=MTgjMjE%3D [ilc.webex.com]\n\n-------------------------------------------------------\nAudio conference information\n-------------------------------------------------------\nTo receive a call back, provide your phone number when you join the meeting, or call the number below and enter the\naccess code.\nCall-in toll-free number (US/Canada): 1-877-668-4490\nCall-in toll number (US/Canada): 1-408-792-6300\nGlobal call-in numbers: https://ilc.webex.com/ilc/globalcallin.php?serviceType=MC&ED=166325422&tollFree=1\n[ilc.webex.com]\nToll-free dialing restrictions: http://www.webex.com/pdf/tollfree_restrictions.pdf [www.webex.com]\n\nAccess code:759 895 076\n\n-------------------------------------------------------\nFor assistance\n-------------------------------------------------------\n1. Go to https://ilc.webex.com/ilc/mc [ilc.webex.com]\n2. On the left navigation bar, click "Support".\nTo add this meeting to your calendar program (for example Microsoft Outlook), click this link:\nhttps://ilc.webex.com/ilc/j.php?ED=166325422&UID=482579167&ICS=MS&LD=1&RD=18&ST=1&SHA2=etmH64tjX3c2djXG6vynpaAMfwb\n4r3el5B5ozGF3D/w= [ilc.webex.com]\n\nTo check whether you have the appropriate players installed for UCF (Universal Communications Format) rich media\nfiles, go to https://ilc.webex.com/ilc/systemdiagnosis.php [ilc.webex.com].\n\nhttp://www.webex.com [www.webex.com]\n\nCCM:+14087926300x759895076#\n\nIMPORTANT NOTICE: This WebEx service includes a feature that allows audio and any documents and other materials\nexchanged or viewed during the session to be recorded. You should inform all meeting attendees prior to recording\nif you intend to record the meeting. Please note that any such recordings may be subject to discovery in the event\nof litigation.\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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.658
Threshold uncertainty score0.488

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.6580.625

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 head0.011
GPT teacher head0.264
Teacher spread0.252 · 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.

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
Published2012
Admission routes1
Has abstractyes

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