observer-agreement tally plate · scored comparison matrix

Separate Paired Observer Agreement from Agreement Expected by Chance

Two care observers can agree often simply because they use the same category frequently. Keep paired observations, category distance and the chance denominator visible before discussing a shared recording rubric.

1 · Observation code | observer A category | observer B category

FIRST-LOAD

HYPOTHESIS / PROTOTYPE — checkout unavailable. Calculation is local. A draft is saved automatically in this browser profile when storage is available; Reset to sample clears it. Optional Pro history stores only five summaries and has its own deletion control. State links encode your inputs and can remain in browser history, clipboard or recipients’ records; share only non-sensitive rows. Optional external AI formatting leaves this device. The required site analytics beacon reports page activity; shared URLs contain encoded inputs. Do not treat an encoded URL as private. The calculator has no input-collection endpoint.

Data note: This observer-agreement tally plate calculates in the tab from Observation code | observer A category | observer B category. No input-collection endpoint, AI request or file upload is built into it. Drafts may be saved locally; explicit input-state links and optional external formatting can disclose the records. Use non-sensitive codes and clear the draft when finished.

Perspective: Before: matching scores seemed sufficient proof of agreement. After: observed distances and the marginal chance baseline remain separate, inspectable quantities.

2 · Read the observer-agreement tally plate

Descriptive rubric rehearsal only: no diagnosis, care recommendation or competence certification. Use fictional/de-identified observations and review the definitions, sampling and disagreement with the responsible qualified care lead before any care-related use.

Paid layer: observer-agreement tally plate filing layer

one-time step · the free reading above stays complete

hidden patterns detected after your first run

Free tier

one full, unwatermarked observer-agreement tally plate App execution
three invented readings and unlimited calculations in the paired article demo
copy the complete working and boundary; voluntarily share non-sensitive input state

What $4 one-time adds

subsequent observer-agreement tally plate App calculations through a browser-local convenience signal
boundary-preserving print and row-and-summary CSV of this observer-agreement tally plate; conditional retyping budget uses only your entered minutes
five local headline/count/time summaries, separately deletable; full-input draft is separate and not a backup

HYPOTHESIS / PROTOTYPE: the proposed $4 one-time price concerns filing this observer-agreement tally plate, not obtaining its answer. No checkout is available. An optional manual-retyping baseline computes a conditional one-export retyping budget; preparation, review, measured savings and buyer demand are not implied.

Local history (this device)

No saved runs yet — your first run files here.

Filing prototype — checkout unavailable

Checkout is unavailable. Browser-local, profile-scoped convenience gating is best-effort, not server-verified access. A URL or browser flag is not proof of payment. Clearing browser data removes local state; no account or cross-device recovery is provided.

Optional filing controls are a local prototype.

Checkout is unavailable. The reading above is complete; print, CSV and five local summaries are optional enhancements, not hidden answers.

Before using the observer-agreement tally plate

Practice with an agreed, non-clinical ordered rubric and fictional observation codes. Both observers must rate the same observation independently using categories numbered zero through one less than the setting. A number does not create a valid instrument: categories need meaningful shared definitions, and their order does not prove equal clinical spacing. Linear weights here make each additional category step the same modeled disagreement. This is a descriptive training aid, not an assessment of a patient, professional competence or treatment. Actual care records should stay in an approved system, and a qualified lead should decide whether this agreement model is suitable.

Boundary and sources

Declared local method: Count how often observer A and observer B used each category. Expected weighted agreement averages the same weights over all combinations of those marginal counts, divided by the squared observation count. Compute κ = (observed − expected)/(1 − expected). This model assumes the margins are the relevant chance baseline; it is not a causal model of the observers. If expected agreement is one, the correction is undefined and no numeric kappa is invented.
Every sample code, measurement, date, price, fingerprint and scenario is invented. Artifact checks do not verify reader data, policies, actual files, tickets, votes or health/accessibility outcomes.
Google’s official Gemini pricing page, fetched 2026-10-01, lists AI Studio access in its Free section, limited model access and free input/output tokens. Free-tier content may be used to improve products. Optional external formatting may require an account; limits/access can change. Manual local entry needs none. Do not send sensitive records.

Mechanism: competence-autonomy-loop

Optional AI formatting, never the calculation

Manual entry completes this observer-agreement tally plate for free without signup. If available to you, the free AI Studio interface linked in the sources may format fictional or non-sensitive notes; external access may require an account. No API key or AI call is built into this tool. Free-tier content may be used to improve products. Review each cell and transcribe it to the labeled row schema; do not paste the JSON object into the row box.

Format only these fictional or non-sensitive notes for a observer-agreement tally plate. Return strict JSON shaped as {"rows": [{"label": "string", "cells": ["string", "string"]}], "setting": "string"}. The columns are Observation code | observer A category | observer B category; the setting is Number of ordered categories (2–10). Keep all supplied strings and quantities exactly; do not calculate, infer missing entries, invent dates or add advice. If any required value is missing, return an empty rows array and ask me for it separately. I will verify every cell against my source and manually transcribe rows using vertical bars before running the local calculator.

An AI response is not executed, fetched or trusted as a result. Missing values remain questions; the strict local parser checks the rows you actually enter.