Evaluation
Labels
Human 0gemini-3.8-flash 8
Latest report
Latest completed runtime evaluation job · metrics based on model:gemini-3.8-flash
| Level rank correlation (Spearman) | 0.66 |
| Daily precision at 5 | n/a (ranking selection missing or fewer than k items) |
| Weekly precision at 10 | n/a (ranking selection missing or fewer than k items) |
| Tag F1 · Geos | 0.89 |
| Tag F1 · Themes | 0.80 |
| Tag F1 · Verticals | 0.86 |
| Tag F1 · Event types | 0.83 |
| Model cost per analysed article (USD) | 0.02 |
Raw report
{
"acceptance": {
"precision_at_5_ge_0_7": false,
"spearman_ge_0_6": true
},
"candidate_count": 140,
"human_label_counts": {
"inclusion": 0,
"level": 0,
"tags": 0
},
"inputs": {
"article_count": 140,
"completed_digest_count": 7,
"scope": "current_database"
},
"label_basis": "model:gemini-3.8-flash",
"label_sources": {
"human": 0,
"model": {
"gemini-3.8-flash": 8
}
},
"ledger_cost_usd_per_article": {
"analyzed_article_count": 8,
"call_count": 27,
"reason": null,
"unknown_attempts": 0,
"value": 0.015074875
},
"ledger_latency_ms_mean": {
"call_count": 27,
"reason": null,
"value": 6180.0
},
"precision_at_10_weekly": {
"count": 0,
"missing_label_windows": 0,
"missing_labels": 0,
"reason": "ranking selection missing or fewer than k items",
"scored_windows": 0,
"selected": 1,
"short_windows": 1,
"value": null,
"window_count": 2,
"zero_windows": 1
},
"precision_at_5_daily": {
"count": 0,
"missing_label_windows": 0,
"missing_labels": 0,
"reason": "ranking selection missing or fewer than k items",
"scored_windows": 0,
"selected": 1,
"short_windows": 1,
"value": null,
"window_count": 5,
"zero_windows": 4
},
"readiness": "scored",
"recorded_prediction_rows": 8,
"recorded_selection_rows": 2,
"same_model_self_review": [],
"selected_ids": {
"daily": [
{
"selected_ids": [],
"window_id": "1"
},
{
"selected_ids": [],
"window_id": "2"
},
{
"selected_ids": [],
"window_id": "3"
},
{
"selected_ids": [],
"window_id": "4"
},
{
"selected_ids": [
"5"
],
"window_id": "6"
}
],
"weekly": [
{
"selected_ids": [],
"window_id": "5"
},
{
"selected_ids": [
"5"
],
"window_id": "7"
}
]
},
"spearman_level": {
"count": 8,
"reason": null,
"value": 0.6561880335523164
},
"tag_f1": {
"event_types": {
"count": 8,
"fn": 2,
"fp": 3,
"reason": null,
"tp": 12,
"value": 0.8275862068965517
},
"geos": {
"count": 8,
"fn": 2,
"fp": 0,
"reason": null,
"tp": 8,
"value": 0.8888888888888888
},
"themes": {
"count": 8,
"fn": 2,
"fp": 6,
"reason": null,
"tp": 16,
"value": 0.8
},
"verticals": {
"count": 8,
"fn": 1,
"fp": 2,
"reason": null,
"tp": 9,
"value": 0.8571428571428571
}
},
"verification_pass_rate": {
"count": 8,
"original_facts": 29,
"pending_articles": 132,
"reason": null,
"retained_facts": 22,
"value": 0.7586206896551724
}
}Precision and rank correlation are shown only when supported by labelled examples and recorded selections.