Power Lab: Sing & Play Sonic Music Leader Version Set (2008) (CD ISO/BIN/CUE/WAV Download)
Bibliographic record
Abstract
The MP3 files, and ISO file containing .wav, are the music of the CD, which you can download them from a computer, or burn it as an Audio CD, and play it on Windows Media Player (.wav), iTunes, Phone, Sony PlayStation, Sega Dreamcast, etc. Compact Disc Requirements: The ISO file contains the uncompressed data of the music, which is the standard Audio CD. Some CD players will NOT play MP3, as MP3s are meant for faster downloading. You can burn the ISO .wav files into a CD using Audio CD format. System Requirements: Graphics can be used on any Macintosh with OS 8 or better, or PC-compatible running Windows 95 or better. Both platforms require a multi-session-compatible CD-ROM drive. Audio: Stereo Compact Disc Region Free: United States, Canada, United Kingdom, Japan, Latin America, etc. Single-Layer Format (CD-R) Tracklist: The Power! (Power Lab Theme Song) (162 BPM, C major) Thankful! (85 BPM, E major) There’s Power In The Blood (100 BPM Swing, D# / E ♭ Major) God Of Wonders (86 BPM, E major) Amazing Grace (100 BPM Swing, D major) At The Name Of Jesus (Philippians 2:10-11) ( 175 BPM, A# / B ♭ major ) You Never Let Go (80 BPM, D major) Wherever You Go (Joshua 1:9) (184 BPM Swing, D major) Untitled Hymn (Come To Jesus) (A major) Get Up, Get Up (150 BPM, B major) The Power! (Power Lab Theme Song) (Instrumental) Thankful! (Instrumental) There’s Power In The Blood (Instrumental) God Of Wonders (Instrumental) Amazing Grace (Instrumental) At The Name Of Jesus (Philippians 2:10-11) (Instrumental) You Never Let Go (Instrumental) Wherever You Go (Instrumental) Untitled Hymn (Come To Jesus) (Instrumental) Get Up, Get Up (Instrumental)
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.077 | 0.024 |
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".