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Record W7025148016

[TRU-TV] Nuggets vs Wizards: Live Stream (NBA Basketball Online 2019)

2019· other· en· W7025148016 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2019
Typeother
Languageen
FieldArts and Humanities
TopicKantian Philosophy and Modern Interpretations
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueQuarter (Canadian coin)BasketballShot (pellet)Launched
DOInot available

Abstract

fetched live from OpenAlex

Denver won their fourth straight game as they went on the road and took down the Celtics in their last contest. The Nuggets entered Wednesday second in the Western Conference, half a game behind the Warriors for the top spot: they led the Northwest Division by 4.5 games over Portland. Denver was up two after the opening quarter, by three at the half and was tied after three quarters. Watch Live:: https://247itv.info/nba-allaccess Watch Live:: https://247itv.info/nba-allaccess The Nuggets opened the fourth quarter on an 11-2 run to take control and didn’t let Boston closer than three again. Denver shot 48.9 percent from the field, including 14 of 39 from three-point range, and controlled the boards by a 51-37 margin. Nikola Jokic led the Nuggets with 21 points, 13 rebounds and seven assists in the win. The Nuggets are 15th in the league in scoring offense with an average of 112 points per game. Denver is currently 6th in the league in rebounding with 46.7 rebounds per contest. The Nuggets are 2nd in the league by dishing out 27.8 assists per game. Denver is 6th in scoring defense as they allow 107 points per contest. The Nuggets are 10th in the league in field goal percentage by shooting 46.9 percent from the field. Denver is tied for 14th in the league by sinking 11.2 threes per game and is tied for 10th in the league in three-point shooting by sinking 35.6 percent from beyond the arc. In the last 10 games, the Nuggets have gone 6-4 and put up an average of 110.9 points a night, which is tied for 15th in the league. Nikola Jokic has been the focal point of the offense, averaging 19.8 points, 10.6 rebounds and 6.9 assists per game in that stretch. Jamal Murray is back to full speed and providing a punch at the point, averaging 18.6 points per game while shooting 44.7 percent from the field and 41.8 percent from beyond the arc. Washington was in action on the road Wednesday as they faced the Bulls hoping to keep their fading playoff hopes alive. The Wizards entered Wednesday 11th in the Eastern Conference, 4.5 games behind the Heat for the final playoff spot with 11 to play. Washington is 4-5 in the second game of back to back situations this season. The Wizards average 116.2 points per game on the offensive end of the floor in those games, compared to their full-season mark of 114.4 points per game. Washington gives up 117.3 points a night in those outings, which is close to their full-season average of 116.9 points a contest. The Wizards are 7th in the league in scoring offense with 114.4 points per game. Washington is 27th in the league on the glass with 41.7 boards per game. The Wizards are 5th with 26.6 assists per game. Washington is 29th in the league as they allow 116.9 points per game on the year. Washington is tied for 8th in field goal percentage as the team shoots a collective 47 percent from the floor. The Wizards are 12th in the league with 11.6 triples a night while ranking tied for 23rd in three-point shooting. Washington hits 34.6 percent from downtown this season. The Wizards are 5-5 in their last 10 games as they continue to struggle defensively. Washington is 24th in the league in that 10-game stretch in scoring defense as they allow 116.3 points per game and 21st in field goal percentage defense as opposing teams shoot 46.8 percent from the floor. Bradley Beal has been torching the nets of late with 27.7 points plus 6.8 assists a night while shooting 46.9 percent from the floor. Bobby Portis chips in 14.4 points plus 8.6 rebounds a night in that stretch. Dwight Howard suffered a setback during his rehab for a back issue as he tweaked his hamstring. His return status is in doubt. His absence has given Thomas Bryant (8.1 points, 4.7 rebounds, 49.2 percent shooting) extended run.

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 score0.293
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7070.478

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 head0.020
GPT teacher head0.249
Teacher spread0.228 · 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
Published2019
Admission routes1
Has abstractyes

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