Review deterministic confidence context and journal conviction in TEMIRIN with explicit source evidence, market identity, current policy, and human notes.
August 3, 2026 · 4 min read
Prediction-market teams often use the word confidence for several incompatible ideas: belief in an outcome, trust in a source, completeness of evidence, clarity of resolution wording, or willingness to continue review. Calibration is impossible until the workspace states which meaning a field carries. In TEMIRIN, deterministic confidence context and policy fields organize inspectable inputs; they are not a generated probability, personalized recommendation, or promise of market accuracy.
Write a short data dictionary beside the workflow. Name each input, allowed values, missing-state behavior, and whether a human or deterministic rule supplies it. Keep the market's displayed price in a separate field because price reflects the venue at an observation time, not the reviewer's confidence label. A note can express subjective uncertainty, but it should not silently overwrite stored provenance or deterministic context.
A calibration sample needs a historical snapshot of what was actually available. Retain the explicit market ID, outcome, trigger and current price observations, configured source records, canonical references, timestamps, deterministic brief fields, policy context, and reviewer note. Evidence belongs to the market only when it carries an explicit identifier. Do not add thematically similar articles after resolution and pretend they informed the original confidence value.
Status changes also matter. Record whether the opportunity was watched, approved, rejected, left as no trade, or followed by a user-entered paper order. These actions measure workflow progression, not truth. An approve event means an authenticated person accepted the record for the stated workspace purpose; it does not mean TEMIRIN predicted the winning outcome, transmitted an order, or guaranteed that the observed price was executable.
If the confidence field is intended to describe evidence completeness, test it against later audits of provenance and missing inputs, not against whether YES won. If a human note states an outcome belief, resolution may support a separate calibration study, but only after confirming the exact market, final resolution, void or disputed states, and the timestamp at which the belief was recorded. One chart cannot validly combine these different targets.
Price movement is another possible review outcome, yet it needs a fixed horizon and valuation rule. Compare time-stamped observations without calling them fills or realized PnL. A paper order has its own requested price, notional, later mark, and status; a no-trade record does not. Define the measurement before looking at results, keep unresolved markets out of resolved rates, and surface incomplete provider data rather than dropping inconvenient rows.
Group observations into ranges only when the values share the same definition and operating period. Show the number of records, resolved count, missing count, category coverage, and date range beside every rate. Small buckets can look dramatically over- or under-confident by chance. Changing source lists, watchlists, policy settings, or note prompts can also make an older sample incomparable with a newer one even when the label is unchanged.
Inspect individual examples before changing thresholds. A group may be distorted by one repeated source, several markets tied to the same event, ambiguous resolutions, or duplicate review records. Analysts should verify whether rows are genuinely independent rather than assuming different market IDs settle the question. State the observed dependencies in the review and avoid performance claims that exceed the sample.
Calibration work should produce narrow prospective changes: clearer field labels, a required provenance check, a better missing-data state, or a revised human note prompt. Preserve earlier values and record when the new definition begins. Recalculate summaries by version instead of rewriting history. This keeps later reviewers from comparing labels that look identical but were produced under different instructions or available inputs.
Keep a confidence percentage separate from capital decisions. Users enter paper-order notionals, and TEMIRIN applies implemented per-order, rolling twenty-four-hour, per-market exposure, concentration, and price-move checks. The result records whether that simulation passes or is blocked under the current workspace policy. Every real capital and venue decision remains outside the system, and calibration does not change that boundary.
Publish a compact methodology beside any calibration view. It should state the field definition, sample window, resolution and missing-data treatment, version boundaries, and known dependencies among markets or sources. Readers can then evaluate the result without mistaking a descriptive workflow audit for a forecasting model. If those details cannot fit, link to the governed export or note that contains them rather than compressing uncertainty into a confident headline.
No. Current confidence context is deterministic workflow information tied to inspectable fields and policy. It must not be presented as a generated forecast or guaranteed outcome probability.
Yes, if the note's meaning and timestamp were defined before resolution, the exact market outcome is verified, and unresolved or incomplete records remain visible in the sample.
Users enter paper notionals themselves. Implemented controls may pass or block that simulation under the current per-order, rolling twenty-four-hour, exposure, concentration, and price-move checks.
