Baja Blues Band Live at Anderson back yard on 2006-08-26
Bibliographic record
Abstract
Set 1: 01. Spooky (Sound Check) 02. Horse with No Name 03. Every Day I Have the Blues 04. Too Many Times ((c) 2001 Scott Wilburn) 05. Black Water 06. Georgia 07. Let's Get Together 08. Heart of Gold 09. Steamroller Blues 10. Little Bird ((c) 2006 Scott Wilburn) Set 2: 01. Grapevine 02. Spooky 03. Route 66 04. Sittin' by the River ((c) 2006 Scott Wilburn) 05. Last Dream ((c) 1987 Kevin B. Selby) 06. Evil Ways 07. Mama Don't Dance 08. Little Wing 09. Stormy Monday 10. Fire and Rain Set 3: 01. Summer Breeze 02. Trouble ((c) 2003 Scott Wilburn) 03. Man of Constant Sorrow 04. Norwegian Wood 05. Midnight Drive ((c) 2001 Scott Wilburn) 06. Garden Party 07. Tin Man 08. So Far Away 09. House is a Rockin' 10. I'm a Believer 11. Imagine 12. Blackbird
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.419 | 0.039 |
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; both teacher heads agree on what is shown here.
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".