[FSS-TV] Heat vs Spurs: Live Stream (NBA Basketball Online 2019)
Bibliographic record
Abstract
The Miami Heat have been in great form lately as they’ve won seven of their past nine games and they will be gunning for a third straight victory after blowing past the Thunder in a 116-107 road win on Monday. Kelly Olynyk was the only starter to finish in double figures as he scored 18 points on seven of 10 shooting, but the =========================== Watch Live NOW >> https://247itv.info/nba-allaccess Watch Live NOW >> https://247itv.info/nba-allaccess =========================== Heat got plenty of support from their bench as Goran Dragic finished with 26 points and 11 assists while Dwyane Wade added 25 points and five assists. As a team, the Heat shot 47 percent from the field and nine of 29 from the 3-point line as they hung with the Thunder in the first half before pulling away in the third quarter where they held the shorthanded Thunder to just 20 points. With the much-needed win, Miami improved to 34-36 on the season and 17-16 on the road which is good for eighth place in the Eastern Conference standings. Meanwhile, the San Antonio Spurs have been on an absolute tear as they will be aiming for a season-high 10th straight win after sneaking past the Warriors in a 111-105 home win on Monday. DeMar DeRozan led the team with 26 points, nine rebounds and eight assists, LaMarcus Aldridge added 23 points with 13 rebounds and three assists while Rudy Gay chipped in with 17 points off the bench. As a team, the Spurs shot 46 percent from the field and 10 of 26 from the 3-point line as they held off a late charge from the Warriors after leading by 11 points at halftime. With the win, San Antonio improved to 42-29 overall and 29-7 at home. Looking at the betting trends, the Heat are 19-7 ATS in their last 26 road games, 5-2 ATS in their last seven games against a team with a winning record and 8-3 ATS in their last 11 games overall. The Spurs are 4-0 ATS in the last four meetings against a team with a losing record, 19-7 ATS in their last 26 home games and the Spurs are 6-0 ATS in their last six games overall. Head to head, the over is 5-2 in the last seven meetings, the Heat are 1-4 ATS in the last five meetings in San Antonio and the Heat are 2-10 ATS in the last 12 meetings overall. The Heat look to be peaking at the right time with the playoffs just around the corner, but they’ll need to keep winning to hang onto that eighth spot in the Eastern standings. Unfortunately, the Heat have run into the Spurs who are playing some of their best basketball of the season, especially at home where they’ve been tough to beat all season. The Heat are just 2-10 ATS in the last 12 meetings overall and I think that trend continues as I just don’t want to bet against these Spurs while they’re on this streak.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.824 | 0.673 |
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".