Comprehension accuracy (Δ)

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{
    "construct": "prob(<event>)=<p> | odds-for(<event>)=<favourable>:<unfavourable> | odds-against(<event>)=<unfavourable>:<favourable>",
    "metric": "comprehension_accuracy_delta",
    "seed": 20261977,
    "comparator": {
        "kind": "complete-careful-english-v1",
        "description": "Same scenario, same supplied figures and the same separate fact in both arms; the careful-English arm states the probability or the oriented odds in complete English ('The probability of X is 80%.', 'The stated odds in favour of X are 4:1.') while the marked arm uses prob(X)= / odds-for(X)= / odds-against(X)=. The source's own comparator kind and semantics, preserved; no bare-ambiguity arm."
    },
    "study_purpose": "claim_test",
    "study_scope": "FRESH-INPUT settlement replication of Dexagon's DISPUTED comprehension original f270857d (-6.5887 pp [-13.5074, +1.0726]; 0 agreements vs 1 disagreement) on a-b46kna5nkdy1d1fq (prob / odds-for / odds-against). Instrument preserved: the fifteen settlement strata (3 forms x 5 probes) at weight 1, the complete-careful-English comparator, 120 real + 12 calibration items, the two-option probe asking whether a named separate fact is stated, 4 present / 4 absent per stratum, counterbalanced yes/no letters, and the source's own absolute-gap-v1 calibration rule at min_gap 0.5. Inputs WHOLLY FRESH: every scenario, event, figure, odds pair, clause, question and option mapping was authored here; 0 complete pairs and 0 content 8-grams are shared with the source bank. ONE hosted DeepSeek reader replaces the source's two local quantised Ollama lineages; panel_neff 1 declared and the roster change disclosed, not silently substituted.",
    "items_sha256": "b2ba9648aa35c8c1b57273cd34dc11b2470ccb3fc313f3c1e7a4d2155e772f13",
    "items_url": "https://x0.at/cdaa.json",
    "models": [
        "deepseek-flash"
    ],
    "admissibility": {
        "kind": "ainglish.panel.admissibility.v1",
        "per_reader_calibration": true,
        "max_absent_cells": 0,
        "max_off_option_cells": 0,
        "max_transport_fault_cells": 0,
        "max_truncated_cells": 0
    },
    "readers": [
        {
            "name": "deepseek-flash",
            "provider": "openai-compatible",
            "model": "deepseek-flash",
            "api": "openai",
            "base_url": "https://api.deepseek.com/v1",
            "model_digest": null,
            "digest_source": "provider-opaque",
            "instrument_preparation": {
                "entry_point": "prepare_reader_instruments",
                "binding": "provider-opaque"
            },
            "answer_protocol": "opaque-choice-v1",
            "max_tokens": 16384,
            "timeout_s": 600,
            "temperature": null,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "minimal"
        }
    ],
    "instrument_preparation": {
        "entry_point": "prepare_reader_instruments",
        "binding": [
            {
                "reader": "deepseek-flash",
                "digest_source": "provider-opaque"
            }
        ]
    },
    "item_counts": {
        "real": 120,
        "calibration": 12
    },
    "interval_kind": "bootstrap_items",
    "interval_estimator": {
        "kind": "ainglish.panel.bootstrap-items-attestation.v1",
        "algorithm": "sha256-counter-modulo-v1",
        "draws": 2000,
        "sampling_unit": "item",
        "quantiles": [
            "0.025",
            "0.975"
        ],
        "items_index_sha256": "6413e3bc574df7adb429781d3efd9812f292653f2d55dec2c1775175e769748f"
    },
    "settlement_strata": [
        {
            "id": "prob:payout",
            "weight": 1
        },
        {
            "id": "prob:calibration",
            "weight": 1
        },
        {
            "id": "prob:frequency",
            "weight": 1
        },
        {
            "id": "prob:causation",
            "weight": 1
        },
        {
            "id": "prob:rounding",
            "weight": 1
        },
        {
            "id": "odds-for:payout",
            "weight": 1
        },
        {
            "id": "odds-for:calibration",
            "weight": 1
        },
        {
            "id": "odds-for:frequency",
            "weight": 1
        },
        {
            "id": "odds-for:causation",
            "weight": 1
        },
        {
            "id": "odds-for:rounding",
            "weight": 1
        },
        {
            "id": "odds-against:payout",
            "weight": 1
        },
        {
            "id": "odds-against:calibration",
            "weight": 1
        },
        {
            "id": "odds-against:frequency",
            "weight": 1
        },
        {
            "id": "odds-against:causation",
            "weight": 1
        },
        {
            "id": "odds-against:rounding",
            "weight": 1
        }
    ],
    "settlement_item_field": "settlement_stratum",
    "settlement_rule": "manifest-weighted arms and value; every stratum load-bearing",
    "calibration": {
        "planted_arm": "ainglish",
        "min_gap": 0.5,
        "min_recovered": null,
        "rule": "absolute-gap-v1",
        "ordering": "calibration-first",
        "arm_exposure": "both-arms-per-reader-item",
        "cells": 24
    },
    "difficulty": {
        "annotated": false
    },
    "harness": "ainglish-panel/0.2.58",
    "transport": {
        "deepseek-flash": {
            "max_tokens": 16384,
            "timeout_s": 600,
            "temperature": null,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "minimal"
        }
    },
    "concurrency": {
        "max_in_flight": 4,
        "per_reader_max_in_flight": {
            "deepseek-flash": 4
        },
        "result_order": "deterministic-plan-order",
        "calibration_barrier": true,
        "automatic_retries": false
    },
    "transport_faults": {
        "total": 0,
        "retried": false,
        "per_cell": []
    },
    "transport_truncations": {
        "total": 0,
        "per_reader_cell": [],
        "by_cell": {
            "english": 0,
            "ainglish": 0
        },
        "imbalanced_across_cells": false
    },
    "protocol": "panel.py counterbalanced real arms + both-arms-per-reader-item planted-effect calibration gate"
}