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Record W7066300175

[FSCR-TV] Charlotte Hornets vs Philadelphia 76ers:Live Stream (NBA Basketball Online 2019)

2019· other· en· W7066300175 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2019
Typeother
Languageen
FieldComputer Science
TopicMachine Learning and Algorithms
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryCONTESTShot (pellet)BasketballQuarter (Canadian coin)Line (geometry)
DOInot available

Abstract

fetched live from OpenAlex

The Philadelphia 76ers have been in great shape as they’ve won nine of their last 13 games and they will be gunning for a fifth straight victory after sneaking past the Bucks in a 130-125 road win on Sunday. Joel Embiid dominated the game with 40 points, 15 rebounds and six assists, Jimmy Butler added 27 points while JJ Redick chipped in with 19 points on seven of 10 shooting. ==================== Watch LIVE:: https://247itv.info/nba-allaccess Watch LIVE:: https://247itv.info/nba-allaccess ==================== As a team, the 76ers shot 47 percent from the field and 15 of 32 from the 3-point line as they poured on 62 points in the first half to lead by nine points going into halftime, but they had to keep the offense going in the fourth quarter where the Bucks rallied with 43 points. With the impressive win, Philadelphia improved to 45-25 overall and 17-16 on the road. Meanwhile, the Charlotte Hornets have been in a rut as they’ve lost eight of their last 11 games and they will hoping to bounce back after getting blown out by the Heat in a 93-75 road loss on Sunday. Jeremy Lamb led the team in scoring with 21 points off the bench, Frank Kaminsky added 13 points while Nicolas Batum chipped in with 12 points but no other player scored more than 10 points. As a team, the Hornets shot a season-low 31 percent from the field and seven of 36 from the 3-point line as they hung with the Heat in a close contest until the fourth quarter where the Heat outscored them by 32-15 to run away with it late. With the loss, Charlotte fell to 31-38 overall and 10-24 on the road. Looking at the betting trends, the 76ers are 1-5 ATS in their last six games against a team with a losing record and 5-2 ATS in their last seven games after allowing 100 points or more in their previous game. The Hornets are 4-1-1 ATS in their last six games following a loss of more than 10 points, 18-38-4 ATS in their last 60 games against a team with a winning record and 1-6 ATS in their last seven games overall. Head to head, the road team is 4-0 ATS in the last four meetings, the 76ers are 4-0 ATS in the last four meetings in Charlotte and the 76ers are 7-2 ATS in the last nine meetings overall. The Hornets opened as minor favorites in this one which was surprising, but the early money is going towards the 76ers who have been in great form lately. The 76ers are also 4-0 ATS in the last four meetings in Charlotte and 7-2 ATS in the last nine meetings overall, so I’m keeping it simply and taking the 76ers to continue their surge towards the playoffs with another win and cover in this one.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient 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 score0.470
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0070.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3760.847

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 head0.011
GPT teacher head0.252
Teacher spread0.241 · 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