# Manual + IoT historical labels (for review)

**File:** `historical_weights_manual_iot_review.csv`

This file is the production consensus label source (`csv_path` in `configs/weight_cc2_cc3.yaml`).

## Sources

| Column | Source |
|--------|--------|
| `manual_avg_g` | `historical_weights_avg.csv` → Berat Aktual (g) |
| `iot_avg_g` | `data_cycle7.jpeg` → AVG IOT column (days 1–37) |
| Day 0 Manual 32 g | DOC / Age-0 Manual from sampling sheet |

## Proposed consensus rule (draft)

| Situation | Proposed target | Train weight | Flag |
|-----------|-----------------|--------------|------|
| Manual & IoT gap ≤ 5% | mean(Manual, IoT) | 1.0 | AGREE |
| Gap 5–10% | mean(Manual, IoT) | 0.5 | MODERATE_GAP |
| Gap > 10% | mean(Manual, IoT) | 0.25 | LARGE_GAP_DOWNWEIGHT |
| Manual only | Manual | 0.7 | MANUAL_ONLY |
| IoT only | IoT | 0.7 | IOT_ONLY |
| Day 0 DOC | Manual 32 | 0.0 | DOC_REFERENCE_ONLY |

## How to review

Fill these columns:

- `reviewer_decision`: `keep` / `exclude` / `prefer_manual` / `prefer_iot` / `custom`
- `reviewer_target_g`: only if `custom` or override
- `reviewer_notes`: free text

After review, we can freeze a clean training labels CSV from your decisions.