execution-plan/weeks/week-04-batchlens-first-release/materials.md

execution-plan/weeks/week-04-batchlens-first-release/materials.md · UPDATED 2026-10-01

Week 04 — Materials: what to read, what to watch

6 parts873 words

Status: PREPARED 2026-09-15. Links checked on 2026-09-15 unless marked (verify). Authority: v6 master plan, Week 4 "Learn it" block (units B4 microbial metabolism, M4 cross-validation), expanded into exact locators per the source contract.

Week 04 brief · Commitment · Evidence · Review · Gates · Previous

This is GATE 4 week. Reading is subordinate to the release. If the DOI is at risk on Friday, cut every optional item below and log the cut in review.md.

01

01

Where this fits in the week

Slot Budget Material
Tuesday · B4 20 min V3 Khan fermentation (10) → one paragraph in notes/bio/B4.md: "what is a fermentation, really". The rest of the block is build
Wednesday build block 15 min max R3 GitHub citation/Zenodo docs + the CITATION.cff format page
Thursday · M4 60 min + 30 V1 (6) → R4 Kapoor & Narayanan, the leakage taxonomy only (20) → batch-wise CV with its test (~35); last 30 min founder paper
Saturday sandbox optional "Deeper", only after the release is out
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02

02

Read

# Source Exact scope Min Why this week Produce
R3 GitHub Docs, "Referencing and citing content" and "About CITATION files"; format spec at citation-file-format.github.io The Zenodo-integration steps and the minimal CITATION.cff fields 15 This is the literal procedure for Friday's DOI badge. Read it once, follow it exactly CITATION.cff in the repo root and a rendering DOI badge in the README
R4 Kapoor S. & Narayanan A., "Leakage and the reproducibility crisis in machine-learning-based science", Patterns 4(9):100804, 2023. DOI 10.1016/j.patter.2023.100804 · open PDF: hbiostat.org/papers/kap23lea.pdf The taxonomy of eight leakage types; identify which one batch-wise CV prevents 20 The single best paper on the exact mistake that would invalidate Paper 2. Cite it in week 08 and week 18 One paragraph in the README's honest "Where it fails" section naming the leakage type you guarded against
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03

03

Watch (YouTube)

# Channel · title ~Length Link When Produce
V1 StatQuest · "Machine Learning Fundamentals: Cross Validation" ~6 min youtube.com/watch?v=fSytzGwwBVw Thursday, first The sentence "why random k-fold is wrong for batch data" in notes/ml/M4.md
V3 Khan Academy · "Fermentation and anaerobic respiration" (article + practice) ~10 min khanacademy.org/…/a/fermentation-and-anaerobic-respiration Tuesday, first One paragraph in notes/bio/B4.md: "what is a fermentation, really"
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04

04

Deeper — Saturday sandbox only, and only after the release is out

  • OpenStax Microbiology, ch. 8 "Microbial Metabolism", sections 8.1-8.4 — start at 8.1 Energy, Matter, and Enzymes, chapter entry 8-introduction, recap 8-summary — 8.1 through 8.4; pay attention to aerobic vs anaerobic. Moved out of core on 2026-09-29.
  • ISLP ch. 5 "Resampling Methods" — free PDF at statlearning.com — 5.1 cross-validation and 5.2 bootstrap; then the ch. 5 lab. Moved out of core on 2026-09-29.
  • Sandve G. et al., "Ten Simple Rules for Reproducible Computational Research", PLOS Comp. Biol. 9(10):e1003285, 2013. DOI 10.1371/journal.pcbi.1003285 — All ten rules, they are one page each. Moved out of core on 2026-09-29.
  • StatQuest · "Bootstrapping Main Ideas!!!" — Channel: youtube.com/@statquest — search the exact title. (verify): no stable video ID confirmed on 2026-09-15. Moved out of core on 2026-09-29.
  • The Turing Way — book.the-turing-way.org, chapters on "Version control" and "Research compendia". The grown-up version of what you shipped this week.
  • carpentries-lab/good-enough-practices — the hands-on lesson behind week 00's R3.
  • Zenodo help — versioning and GitHub integration, if the DOI badge misbehaves.
  • JOSS submission guidance — you submit in week 36, not now. Read it once so that today's release history is already the kind reviewers want.
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06

06

NotebookLM kit sources for `LABLOOP-W04`

(1) this file; (2) the Week 4 chapter from the v6 master; (3) R1 pages; (4) ISLP ch. 5 PDF; (5) V1 URL; (6) R4 PDF; (7) R5 article; (8) R3 GitHub docs pages; (9) your README draft with the headline number; (10) GATES.md.

Focus line: Focus: why a result is only finished when a stranger can regenerate it; batch-wise cross-validation as leakage prevention; aerobic versus anaerobic metabolism.

Custom question: Given my batch-wise CV implementation and the Kapoor & Narayanan taxonomy, which leakage type am I still exposed to in batchlens v0.1, and what is the cheapest test that would catch it?

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