Bibliographic record
Abstract
Bob Muller, friend, colleague, and place-cell pioneer, died following a heart attack on Sept 16, 2013. He was 71 years old. Figure 1 shows Bob at the early stages of place cell recording. BACKGROUND “Extremely direct ” is the essence of Bob Muller’s signature style. His journey toward his intensive focused study of place cells was anything but direct, veering from experimental psychology through membrane biophy-sics and ending in the temporal lobe. Bob was a New Yorker. Born in Queens in 1942, he went through New York City public schools, Stuyve-sant High School (where he was classmate of Lynn Nadel) and City Col-lege (where he was a classmate of John O’Keefe’s wife, Eileen). Inspired by Sam Feldman at City College, he journeyed to Canada, to McMaster Uni-versity to study physiological psychology with Case Vanderwolf. Vander-wolf ’s seminal studies of the behavioral correlates of the theta rhythm were Bob’s first taste of the hippocampus. Incapable of being outside New York
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.049 | 0.047 |
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".