Saluting Judge Philip Pro's Quarter Century of Nevada District Service
Bibliographic record
Abstract
United States District Judge Philip M. Pro recently assumed senior status after more than two dozen years of exemplary service—five as chief judge—on the U.S. District Court for the District of Nevada, the federal trial court that serves the entire state of Nevada. Everyone who knows Judge Pro understands that senior status will not mean semi-retirement for him because he will continue devoting his tremendous energy to assuring that the District of Nevada promptly, inexpensively, and fairly resolves the myriad challenging cases on its docket. Judge Pro earned his Juris Doctor degree from Golden Gate University School of Law in 1972 and began his legal career as a clerk to the Honorable William P. Compton in the Eighth Judicial District Court in Las Vegas. Thereafter, he served as a deputy public defender for Clark County from 1973–1975 and as an assistant United States attorney in Las Vegas and Reno from 1975–1977. After briefly engaging in private practice as a partner at the Reno law firm of Semenza, Murphy, and Pro from 1977–1979, Judge Pro returned to the public sector for good by assuming a position as deputy attorney general for the State of Nevada in the Gaming Division from 1979–1980. Prior to his appointment as an article III judge, Judge Pro served for seven years as a U.S. magistrate judge. During that time he presided over the litigation regarding the MGM Grand fire in which 87 individuals perished. The MGM Grand fire litigation involved extensive pre-trial discovery for approximately 1,500 plaintiffs and nearly 150 defendants, and required approximately 140 weekly discovery hearings. Judge Pro received his commission as an arti-
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".