LCTPC WP meeting #100 (!), mainly new WP5 discussion
Bibliographic record
Abstract
(! we should find a way of celebrating this virtually ?)\n\nTHURSDAY 4 March 2010\nWest Coast East Coast W.Europe Japan\n05.00 08.00 14.00 22.00\n\nHello Jan Timmermans,\nYou have BOOKED a meeting in EVO (http://evo.caltech.edu).\n\nTitle: LCTPC WP meeting #100 (!), mainly new WP5 discussion\nDescription: LCTPC WP meeting #100 (! we should find a way of celebrating this virtually ?)\nCommunity: ILC\nPassword: wpmtg100\n\nMeeting Access Information:\n- Meeting URL\n http://evo.caltech.edu/evoGate/koala.jnlp?meeting=MtM8Ma2B22DBDe9l99Ds9t\n\n- Password: wpmtg100\n- Phone Bridge\n ID: 1676200\n Password: 0413\n\nCentral European Time (+0100)\n Start 2010-03-04 13:30\n End 2010-03-04 17:00\n\nJapan Standard Time (+0900)\n Start 2010-03-04 21:30\n End 2010-03-05 01:00\n\nEastern Standard Time (-0500)\n Start 2010-03-04 07:30\n End 2010-03-04 11:00\n\nPacific Standard Time (-0800)\n Start 2010-03-04 04:30\n End 2010-03-04 08:00\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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.818 | 0.785 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".