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Record W6931331183 · doi:10.5281/zenodo.4167120

Watch!!! Cincinnati vs Memphis Live NCAA Football Week 9 TV Info

2020· article· en· W6931331183 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsnot available
Fundersnot available
KeywordsMemphisYardFootballBattleLas vegasWhite (mutation)Quarter (Canadian coin)MidnightBeholdSuperstarVictory

Abstract

fetched live from OpenAlex

Cincinnati vs. Memphis: How to watch online, live stream info, game time, TV channel\n\n====================================\n\nWatch Live ===>> http://asvslive.co/ncaa-f/\n\n====================================\n\nThe Memphis Tigers won both of their matches against the Cincinnati Bearcats last season (34-24 and 29-24) and are aiming for the same result on Saturday. Memphis and Cincinnati will facae off in an American Athletic battle at noon ET at Nippert Stadium. Keep an eye on the score for this one: both teams posted some lofty points totals in their previous games, so things might heat up even more when they meet.\n\nThe Tigers were able to grind out a solid victory over the Temple Owls last week, winning 41-29. Memphis' success was the result of a balanced attack that saw several players step up, but QB Brady White led the charge as he passed for four TDs and 313 yards on 36 attempts. White's 65-yard touchdown toss to WR Calvin Austin III in the third quarter made for one of the most memorable moments of the day.\n\nMemphis' defense was a presence as well, as it collected three interceptions and one fumble. DB Rodney Owens snatched up two of those interceptions, both in the third quarter.\n\nMeanwhile, Cincinnati made easy work of the SMU Mustangs last week and carried off a 42-13 win. QB Desmond Ridder went supernova for the Bearcats as he passed for one TD and 126 yards on 21 attempts in addition to rushing for three TDs and 179 yards. This was the first time Ridder has racked up 100+ rushing yards all year. Ridder's sharp performance also set his single-game rushing touchdown high for the season.\n\nCincinnati's defense was a presence as well, as it got past the Mustangs' offensive line to sack the quarterback four times. It was a group effort with five picking up one sack apiece.\n\nThe Tigers are expected to lose this next one by 6.5. True fans might be the only ones betting on them, currently 0-3 ATS, to cover the spread.\n\nThe wins brought Memphis up to 3-1 and Cincinnati to 4-0. A pair of numbers to keep in mind before kickoff: Memphis ranks fifth in the nation when it comes to passing touchdowns, with 17 on the season. But the Bearcats enter the game with only one passing touchdown allowed, good for eighth best in the nation. These opposing strengths should make for an exciting matchup.\n\nHow To Watch\nWhen: Saturday at 12 p.m. ET\nWhere: Nippert Stadium -- Cincinnati, Ohio\nTV: ESPN\nOnline streaming: fuboTV (Try for free. Regional restrictions may apply.)\nFollow: CBS Sports App\nOdds\nThe Bearcats are a solid 6.5-point favorite against the Tigers, according to the latest college football odds.\n\nOver/Under: -110\n\nSee college football picks for every single game, including this one, from SportsLine's advanced computer model. Get picks now.\n\nSeries History\nMemphis have won all of the games they've played against Cincinnati in the last six years.\n\nDec 07, 2019 - Memphis 29 vs. Cincinnati 24\nNov 29, 2019 - Memphis 34 vs. Cincinnati 24\nNov 18, 2016 - Memphis 34 vs. Cincinnati 7\nSep 24, 2015 - Memphis 53 vs. Cincinnati 46

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.152
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8480.629

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 head0.062
GPT teacher head0.263
Teacher spread0.201 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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