Bibliographic record
Abstract
Annual Conference is being held at the Hotel Bonaventure in beautiful Montréal, Canada, this year! The land of poutine, jazz, and a city underground! The conference is packed full of interesting and informative sessions, but you may be wondering what else Montréal has to offer other than an amazing conference.There is a lot to do, so let's take a look!Travel to the Hotel Airport Public Transportation-If you're arriving at Montréal's Pierre Elliott Trudeau International Airport, you can take Line 744 -YUL/Centre-Ville to get to downtown Montréal.Alternately, it's about a 30-minute bus ride from the airport to the Rene-Levesque/Mansfield stop, and from there a short 5-minute walk to the hotel. The bus is $11 per person for the 747 line from the airport to the city center.Taxi-To find a taxi at the airport, go to Door 23 on the arrivals level and a dispatcher will assist you.A taxi from the airport to downtown costs $49.45 (CAD) between 5AM and 11PM, and $56.70 (CAD) between 11PM and 5AM.Uber or Lyft-Many airports have different pick-up processes for rideshare services.To get an Uber or Lyft, go to Door 28 on the arrivals level to book a ride in the pickup area.You'll receive a number via the app, and you'll need to get in line to be assigned the next available driver.Between 2AM and 10AM, simply follow the instructions provided in the app to find your driver TrainIf you're arriving by train, the Gare Centrale Station is next to the hotel and a mere 3-minute walk! Getting AroundOnce you're here, there's plenty to see around the hotel, but if you want to go a bit further, Montréal's public transportation is clean, safe, and efficient.The metro system covers most major districts, and the BIXI bikesharing network makes two-wheeled commuting easy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.912 | 0.897 |
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".