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Record W6997211859

Utica defeats AU mens lacrosse team, 10-8, April 17, 2010

2005· other· en· W6997211859 on OpenAlexaboutno aff

Bibliographic record

VenueAlfred University Research and Archives (AURA) (Alfred University) · 2005
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Rocket (weapon)Time lineFrame (networking)
DOInot available

Abstract

fetched live from OpenAlex

ALFRED, NY -The Alfred University men's lacrosse team was defeated by visiting Utica, 14-9, Saturday afternoon.AU trailed 5-1 after one quarter and 8-3 at intermission.The Saxons opened the second half scoring three unanswered goals to trim the Pioneers' lead to 8-6 with 6:17 remaining in the third quarter.Utica's Ben Winkler buried a feed from Joe Schoen, before AU notched a pair of goals to close the third quarter.The Saxons started off strong in the final frame as sophomore midfielder Brendan Sullivan (Stafford, VA/North Stafford/The Kiski School) fired a rocket passed Utica netminder Joe Davis, to even the score a 9-9 with 12:55 remaining in the contest.AU would get no closer, as the Pioneers tallied five unanswered goals over the course of an 11-minute span, en route to claiming a 14-9 victory,For the game, AU had 39 shots to Utica's 37 and the Pioneers picked up 35 groundballs to the Saxons 29.Alfred finished 10-of-26 on face-offs and converted one-of-three extra man opportunities.Senior attackman Stefan Dabkowski (Latham, NY/Shaker (SUNY Delhi)) and sophomore midfielder Derek Green (Pittsburgh, PA/The Kiski School) each scored two goals to lead the Saxons.Sullivan and junior midfielder Dave Malave, Wading River, NY/Shoreham-Wading River) each had a goal and an assist, and senior midfielder Jay Whyel (Markleysburg,

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.004
Science and technology studies0.0030.007
Scholarly communication0.0000.001
Open science0.0040.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.033
GPT teacher head0.262
Teacher spread0.230 · 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; both teacher heads 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
Published2005
Admission routes1
Has abstractyes

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