Bibliographic record
Abstract
This is an orientation meeting as the first follow-up from the November meeting at DESY.\n\nThis is EVO/phone only, very probably without video connection, the details:\n\nYou have Hello Christoph Rosemann,\nBOOKED a meeting in EVO.\n\nTitle:\t\tMarlinTPC work meeting\nDescription:\tStatus report, discussion and updates\nCommunity:\tILC\nPassword:\tMarlinTPC\n\nMeeting Access Information:\n- Meeting URL\n\thttp://evo.caltech.edu/evoGate/koala.jnlp?meeting=MMMeMn2I2sDeDi999sD29M\n\n- Password: MarlinTPC\n- Phone Bridge\n\tID: 1647220\n\tPassword: 9625\n\nCentral European Time (+0100)\n\tStart\t2010-02-25 10:00\n\tEnd \t2010-02-25 14:00\n\nJapan Standard Time (+0900)\n\tStart\t2010-02-25 18:00\n\tEnd \t2010-02-25 22:00\n\nEastern Standard Time (-0500)\n\tStart\t2010-02-25 04:00\n\tEnd \t2010-02-25 08:00\n\nPacific Standard Time (-0800)\n\tStart\t2010-02-25 01:00\n\tEnd \t2010-02-25 05:00\n\n\nEVO Phone Bridge Telephone Numbers:\n---------------\n- USA (Caltech, Pasadena, CA)\n\t+1 626 395 2112\n\n- Switzerland (CERN, Geneva)\n\t+41 22 76 71400\n\n- Slovakia (UPJS, Kosice)\n\t+421 55 234 2420\n\n- Italy (INFN, several cities)\n\thttp://server10.infn.it/video/index.php?page=telephone_numbers \n\tEnter '4000' to access the EVO bridge\n\n- Germany (DESY, Hamburg)\n\t+49 40 8998 1340\n\n- USA (BNL, Upton, NY)\n\t+1 631 344 6100\n\n- United Kingdom (University of Manchester)\n\t+44 161 306 6802\n\n- Australia (ARCS)\n\t+61\n\tAdelaide 08 8463 1011\n\tBrisbane 07 3139 0705\n\tCanberra 02 6112 8742\n\tHobart 03 623 70281\n\tMelbourne 03 8685 8362\n\tPerth 08 6461 6718\n\tSydney 02 8212 4591\n\n- Netherlands (Nikhef, Amsterdam)\n\t+31 20 7165293\n\tDial '2' at the prompt\n\n- Canada (TRIUMF, Vancouver)\n\t+1 604 222 7700\n\n- Czech Republic (CESNET, Prague)\n\t+420 95 007 2386
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.862 | 0.815 |
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".