Bibliographic record
Abstract
Detailed with loving accuracy in the photography of Melba Levick and in the lucid prose of Karen Dardick, Estate Gardens of California showcases fifteen magnificent estate gardens that are uniquely, exuberantly Californian. Included within are the classically inspired, 654-acre gardens of Filoli near San Francisco, a property of the National Trust for Historic Preservation-an estate with grounds of such alluring beauty that many times the cameras of Hollywood have come here to film; the Huntington Library Gardens in San Marino, one of the most important botanical gardens in the world; and the opulent and strange but wildly popular Lotusland in Montecito, a fantasy world of exquisite beauty created by Madam Ganna Walska with famed designer Lockwood de Forest. Other gardens featured are in Pebble Beach, Newport Beach, Beverly Hills, the Napa and Sonoma Valleys, and Rancho Palos Verdes. It is the plant palette of almost endless possibilities that makes California's great gardens so breathtaking. In Estate Gardens a rare and privileged glimpse of these possibilities is given. Cohen Estate, Newport Beach (owner of Four Seasons Hotel, Los Angeles) Collins Estate, Beverly Hills Hacienda Mar Monte, Pebble Beach Descanso Gardens, La Canada (open to public) Filoli, Woodside (open to public) Lotusland, Montecito (open to public) Rancho Los Alamitos, Long Beach (open to public) Stathatos Estate, San Marino Beaulieu Residence, Napa Valley (private residence of owner of Beaulieu winery) Villa Fiore, Dry Creek Valley, Sonoma County Huntington Library, San Marino (open to public) Val Verde, Montecito (open for limited public viewing) Villa Narcissa, Rancho Palos Verdes Virginia Robinson Estate and Gardens, Beverly Hills (open for limited public viewing) Alden Estate, Santa Monica Canyon.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.597 | 0.204 |
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".