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Record W6979890963

Analysis and Software

2010· other· en· W6979890963 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Linear Collider · 2010
Typeother
Languageen
FieldArts and Humanities
TopicLinguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)PhoneSoftwareJoin (topology)Service (business)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

**** You can forward this email invitation to attendees ****\n\nHello ,\n\nNigel Watson invites you to attend this online meeting.\n\nTopic: CALICE Analysis\nDate: Monday, July 27, 2009\nTime: 3:00 pm, GMT Daylight Time (GMT +01:00, London)\nMeeting Number: 756 267 276\nMeeting Password: Delice.1\n\nPlease click the link below to see more information, or to join the meeting.\n\n-------------------------------------------------------\nTo join the online meeting (Now from iPhones too!)\n-------------------------------------------------------\n1. Go to https://ilc.webex.com/ilc/j.php?ED=115998092&UID=0&PW=a969b30b243e59345d7c61\n2. Enter your name and email address.\n3. Enter the meeting password: Delice.1\n4. Click "Join Now".\n\n-------------------------------------------------------\nTo join the teleconference only\n-------------------------------------------------------\nProvide your phone number when you join the meeting to receive a call back. Or, call the number below and enter the meeting number.\nCall-in toll-free number (US/Canada): 866-699-3239\nCall-in toll number (US/Canada): 1-408-792-6300\nGlobal call-in numbers: https://ilc.webex.com/ilc/globalcallin.php?serviceType=MC&ED=115998092&tollFree=1\nToll-free dialing restrictions: http://www.webex.com/pdf/tollfree_restrictions.pdf\n\n-------------------------------------------------------\nFor assistance\n-------------------------------------------------------\n1. Go to https://ilc.webex.com/ilc/mc\n2. On the left navigation bar, click "Support".\n\nYou can contact me at:\nNigel.Watson@cern.ch\n44-1214144699\n\nTo add this meeting to your calendar program (for example Microsoft Outlook), click this link:\nhttps://ilc.webex.com/ilc/j.php?ED=115998092&UID=0&ICS=MI&LD=1&RD=2&ST=1&SHA2=mZOwAMgldTY8Cd5KHViw/6TM68uyaNcppNj/2S0zytw=\n\nThe playback of UCF (Universal Communications Format) rich media files requires appropriate players. To view this type of rich media files in the meeting, please check whether you have the players installed on your computer by going to https://ilc.webex.com/ilc/systemdiagnosis.php\n\nSign up for a free trial of WebEx\nhttp://www.webex.com/go/mcemfreetrial\n\nhttp://www.webex.com\nWe've got to start meeting like this(TM)\n\nIMPORTANT NOTICE: This WebEx service includes a feature that allows audio and any documents and other materials exchanged or viewed during the session to be recorded. By joining this session, you automatically consent to such recordings. If you do not consent to the recording, do not join the session.\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)0.023
metaresearch head score (Gemma)0.113
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: Software · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.113
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.006
Science and technology studies0.0020.003
Scholarly communication0.0130.008
Open science0.0040.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.3580.352

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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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
GenreSoftware

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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