[MSG-TV] Jazz vs Knicks: Live Stream (NBA Basketball Online 2019)
Bibliographic record
Abstract
The Utah Jazz have been on a nice run lately as they’ve won nine of their last 13 games and they will be aiming for a fifth straight victory after blowing past the Wizards in a 116-95 road win on Monday. =========================== Watch Live NOW >> https://247itv.info/nba-allaccess Watch Live NOW >> https://247itv.info/nba-allaccess =========================== Donovan Mitchell led the team in scoring with 19 points, Jae Crowder added 18 points off the bench, Joe Ingles scored 16 points while Rudy Gobert chipped in with 14 points and 14 rebounds. As a team, the Jazz shot 53 percent from the field and 14 of 37 from the 3-point line as they set the tone with their defense in the first half before putting the game out of reach in the third quarter where they poured in 34 points. With the win, Utah improved to 41-29 on the season and 18-17 on the road which is good for seventh place in the Western Conference standings. Meanwhile, the New York Knicks have been in a serious slump as they’ve lost nine of their last 10 games and they will be hoping to bounce back after getting routed by the Raptors in a 128-92 road loss on Monday. Allonzo Trier led the team with 22 points off the bench, Kevin Knox added 12 points while Damyean Dotson chipped in with just 11 points but no other player finished in double figures. As a team, the Knicks shot a miserable 32 percent from the field and eight of 36 from the 3-point line as they never looked threatening after falling behind by 19 points going into halftime. With the loss, New York fell to 14-57 on the season and 7-31 on the road. Looking at the betting trends, the Jazz are 6-1 ATS in their last seven road games, 8-2 ATS in their last 10 games against a team with a losing record and 4-0 ATS in their last four games overall. The Knicks are 6-1 ATS in their last seven games following a loss of more than 10 points, 6-17 ATS in their last 23 home games and 2-5 ATS in their last seven games overall. Head to head, the over is 6-0 in the last six meetings, the Jazz are 2-11 ATS in the last 13 meetings in New York and the Jazz are 4-23 ATS in the last 27 meetings overall. The Knicks are just in a shambles right now as they can’t buy a win and are coming into this one fresh off a 36-point loss. The Jazz have been on an absolute tear lately as they’ve won four straight games by double-digits, so it’s hard to see anything but a similar result here, but the betting trends don’t favor the Jazz who are 4-23 ATS in the last 27 meetings overall. This is a lot of points for any road team, but I think the Jazz stay red-hot with an easy win and cover here.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.959 | 0.974 |
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; both teacher heads 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".