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Gas Mask Strain: The Ultimate Guide!

2021· article· en· W6976973477 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2021
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Selection and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsHazeAmnesiaProduct (mathematics)Strain (injury)Bit (key)

Abstract

fetched live from OpenAlex

The\nterm Amnesia Haze is a misleading one. This particular strain is a hybrid that\ncontains more Sativa. It is a highly potent strain but that does not mean that\nit would leave your memory severely impaired. It is made by combining landraces\nfrom different parts of the world and Haze, which acts as the main strain in\nthese cases. The most prominent landraces included in this case are Thai,\nAfghani, and Hawaiian. In fact, it can be said that getting gas\nmask strain may inspire you more than making you forget things as such. Thanks\nto the presence of Afghani Indica in this product’s genetic structure you get a\nwell-balanced high that can be a bit cerebral as well. The\nAmnesia Haze that you get in the commercial markets is procured primarily from\na couple of the biggest companies for such products in the world. One of these\ncompanies is based out of Amsterdam and is known to have created popular\nstrains such as Lavender. This particular strain is well known for its rich\nflavors as well as its capacity to give vibes that uplift you. This is the\nreason why the choosing cheese\nquake strain is as popular as it is. The product has also been successful\nand won many accolades all over the world. Amnesia Haze has around 20% to 25%\nTHC (tetrahydrocannabinol). A\ndistinct aspect of the product is its flowers that are so dense and chunky.\nThey exhibit a combination of bud structures that you get to see in the sativa\nand indica strains. The products are usually packed tightly but the buds are\ntapered to a higher extent. They are less round and more conical. This is\nsomething that you should know about the meat\nbreath strain. The tint of the buds – yellow or greenish – would depend on\nthe way they have been cured. The\npistils in these cases are usually rust coloured. This is supposed to help the\nflowers catch pollen from the other male cannabis plants and stand out against\nthe other leaves. You also get variation in the phenotypes of Amnesia Haze. For\nmore information on the high\nquality island pink strain please visit BNB. Related Source: All\nAbout Canada's Cannabis Culture The Facts You\nDon’t Know About Cannabis Kitchener! \n\n\n\n Buy\nPot Online To Avail Of Extraordinary Perks

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)0.001
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.613
Threshold uncertainty score0.552

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.6130.564

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 head0.054
GPT teacher head0.267
Teacher spread0.213 · 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
GenreOther

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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