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{"task_id": "route1-scenario-de", "kind": "route", "task": "route: MASSIVE scenario (18 classes)", "lang": "de", "metric": "accuracy", "family": "classic", "family_label": "sentence embeddings plus a trained logistic regression, local (Mac, MPS)", "state": "measured", "best_arm": "classic-e5-lr", "arms_compared": 2, "value": 86.9, "baseline": 13.5, "baseline_name": "most frequent answer", "skill": 0.848, "n": 2974, "answered": 2974, "top_family": "jev", "mcnemar_vs_top_p": "<0.001", "mcnemar_vs_jev_p": "<0.001", "p50_ms_per_decision": 25, "measured": "2026-10-09", "model_version": "intfloat/multilingual-e5-base + sklearn LogisticRegression(C=1.0, multinomial) (revision d12875059715)", "reason": null, "report_url": "https://github.com/bks-lab/lab-bench/blob/3584dfc8fddeb353916650f6da1f449cf20e2ccb/results/route1/score.md", "extra_json": "{\"macro_f1\": 86.1, \"tied_with\": [], \"vs_top_only_arm_right\": 559, \"vs_top_only_top_right\": 141, \"vs_top_paired\": 2974}"}
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{"task_id": "route1-scenario-en", "kind": "route", "task": "route: MASSIVE scenario (18 classes)", "lang": "en", "metric": "accuracy", "family": "classic", "family_label": "sentence embeddings plus a trained logistic regression, local (Mac, MPS)", "state": "measured", "best_arm": "classic-e5-lr", "arms_compared": 2, "value": 89.8, "baseline": 13.5, "baseline_name": "most frequent answer", "skill": 0.883, "n": 2974, "answered": 2974, "top_family": "jev", "mcnemar_vs_top_p": "<0.001", "mcnemar_vs_jev_p": "<0.001", "p50_ms_per_decision": 23, "measured": "2026-10-09", "model_version": "intfloat/multilingual-e5-base + sklearn LogisticRegression(C=1.0, multinomial) (revision d12875059715)", "reason": null, "report_url": "https://github.com/bks-lab/lab-bench/blob/3584dfc8fddeb353916650f6da1f449cf20e2ccb/results/route1/score.md", "extra_json": "{\"macro_f1\": 89.6, \"tied_with\": [], \"vs_top_only_arm_right\": 560, \"vs_top_only_top_right\": 92, \"vs_top_paired\": 2974}"}
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{"task_id": "route1-intent2-de", "kind": "route", "task": "route: MASSIVE intent given the gold scenario, 2+ options", "lang": "de", "metric": "accuracy", "family": "classic", "family_label": "sentence embeddings plus a trained logistic regression, local (Mac, MPS)", "state": "measured", "best_arm": "classic-e5-lr", "arms_compared": 2, "value": 86.9, "baseline": 50.2, "baseline_name": "most frequent answer", "skill": 0.737, "n": 2622, "answered": 2622, "top_family": "jev", "mcnemar_vs_top_p": "<0.001", "mcnemar_vs_jev_p": "<0.001", "p50_ms_per_decision": 24, "measured": "2026-10-09", "model_version": "intfloat/multilingual-e5-base + sklearn LogisticRegression(C=1.0, multinomial) (revision d12875059715)", "reason": null, "report_url": "https://github.com/bks-lab/lab-bench/blob/3584dfc8fddeb353916650f6da1f449cf20e2ccb/results/route1/score.md", "extra_json": "{\"macro_f1\": 72.5, \"tied_with\": [], \"vs_top_only_arm_right\": 144, \"vs_top_only_top_right\": 243, \"vs_top_paired\": 2622}"}
{"task_id": "route1-intent2-en", "kind": "route", "task": "route: MASSIVE intent given the gold scenario, 2+ options", "lang": "en", "metric": "accuracy", "family": "jev", "family_label": "TypeSafe Jev, hosted API (api.typesafe.ai)", "state": "measured", "best_arm": "jev", "arms_compared": 1, "value": 92, "baseline": 50.2, "baseline_name": "most frequent answer", "skill": 0.838, "n": 2622, "answered": 2622, "top_family": "jev", "mcnemar_vs_top_p": null, "mcnemar_vs_jev_p": null, "p50_ms_per_decision": 230, "measured": "2026-10-09", "model_version": "jev-1.13.0", "reason": null, "report_url": "https://github.com/bks-lab/lab-bench/blob/3584dfc8fddeb353916650f6da1f449cf20e2ccb/results/route1/score.md", "extra_json": "{\"cost_note\": \"median input tokens per call x USD 0.042 per million input tokens, output free (docs.typesafe.ai/models, read 2026-10-02); per source and language, not per question group\", \"macro_f1\": 88.4, \"median_input_tokens_per_decision\": 504, \"tied_with\": [], \"usd_per_1000_decisions\": 0.0212}"}
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{"task_id": "pv1-level-en", "kind": "match", "task": "pv1 level", "lang": "en", "metric": "accuracy against the blind reference", "family": "jev", "family_label": "TypeSafe Jev, hosted API (api.typesafe.ai)", "state": "measured", "best_arm": "jev", "arms_compared": 1, "value": 74.8, "baseline": 34.5, "baseline_name": "most frequent answer (3)", "skill": 0.615, "n": 119, "answered": null, "top_family": "jev", "mcnemar_vs_top_p": null, "mcnemar_vs_jev_p": null, "p50_ms_per_decision": null, "measured": "2026-10-01", "model_version": "jev-1.13.0", "reason": null, "report_url": "https://github.com/bks-lab/lab-bench/blob/3584dfc8fddeb353916650f6da1f449cf20e2ccb/results/pv1/score-en.md", "extra_json": "{\"baseline_source\": \"computed from reference/pv1 (same rule as results/pv1/gliner.md)\", \"tied_with\": []}"}
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{"task_id": "einv1-yesno-de", "kind": "yesno", "task": "yes/no question over the free text of an e-invoice (KoSIT XRechnung test suite, 34 invoices, ten questions)", "lang": "de", "metric": "accuracy against a blind reference, pooled over 340 cells and per question", "family": "jev", "family_label": "TypeSafe Jev, hosted API (api.typesafe.ai)", "state": "planned", "best_arm": null, "arms_compared": null, "value": null, "baseline": null, "baseline_name": null, "skill": null, "n": null, "answered": null, "top_family": null, "mcnemar_vs_top_p": null, "mcnemar_vs_jev_p": null, "p50_ms_per_decision": null, "measured": null, "model_version": null, "reason": null, "report_url": null, "extra_json": "{\"plan\": \"plan/einv1.md\"}"}
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