Zelda: A Link to the Past (SNES) - 100% 2:02:34 - Philippe Brisson
Bibliographic record
Abstract
Single-segment speed run of The Legend of Zelda: A Link to the Past (French Canadian version) done on July 25 2005. Collects 100% of items according to SDA, such as heart pieces, bottles etc, but doesn't get compasses, bomb/arrow upgrades and some other things that some could consider to be required for 100%. Quality note: a problem with the runner's sound setup results in the right channel being on both channels of the videos. Sounds that originate on the left sides of rooms are very faint. Author's comments: The game is still in French so you might have trouble understanding part of it :P A list of people who have contributed the most to improve the time required to complete the game other than me ;) : Alex 'Madzombie', Mike 'TSA', and 'Er0kdrah' Thanks for LeCoureur103 for taking the time to translate this text! Most people would say that if this time has been accomplished, below 2 hours is surely possible then... but my errors are minimized, the route is maximized, I skipped the blue mail, I found the two random heart pieces on the FIRST shot and I used the damage boost in the two places where it is possible to do it. Overall, I really did my best to achieve this time. There is a trick while on an edge that i named the Edge-Cancel, you have to press A while on an edge once you have the pegasus boots. There is 1 chance on 64 to get both 2 random heart pieces the first shot. In the digging game, you have 30 secs to dig about 1/8 of the ground. in the treasure chest game, you can open 2 chest out of 16... this fraction can also be reduced to 1/8. So if i'm good in mathematics, my chances to get both 2 random heart pieces are 1/8 for the first and 1/8 for the second, we must multiply the denominators (8x8 = 64) and the numerators (1x1 = 1...) so 1 chance out of 64. Unfortunately, like in all runs, I made some errors... Here are the ones that I can easily enumerate: - Until the start of the first dungeon could have been better... unfortunately the placement of des enemies and the direction in which they go is random... - In the first dungeon, I wanted to take the most rupees possible, since one time I didn't have enough money for the monkey at the start of the dark world... - In the second dungeon of the dark world, I took the big key and I teleported to the start... I lost like 2 secs..... - I missed 2 times the damage boosts in the skull woods - I missed the teleport skip (my own find!) in ganon's castle... oh my god - Right after getting the magic red boomerang, I went for the flute but a sound bug happen and i missed my bird... I called my bird again and I went in the second dungeon without my 3rd sword... -_-; lost 9-10 seconds - I forgot a little bit of where to go in the first dark world dungeon... you will easily see where (I lost about 15 seconds ;>_
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.830 | 0.796 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".