BotScan

BotScan v0.15.11 — Contest Log Analysis

Local contest-log screening for automation-like operating patterns. Rows are review signals, not final adjudication. Methodology is available below.

Calibration reference corpus
Historical log/QSO footprint behind BotScan
CW · RTTY · SSB
LOGS
reference logs analyzed
QSOs
reference QSOs processed
DATASETS
contest/year datasets
PROFILES
contest/mode profiles
BotScan was built and calibrated against a large Single-Op reference corpus across CW, RTTY and SSB. The cards show the log/QSO footprint used to validate the detection model and the published review library. Batch scans run through the protected review workflow.
Contests covered
ARRL-DX-CWARRL-DX-SSBCQ-160-CWCQ-WPX-CWCQ-WPX-RTTYCQ-WPX-SSBCQ-WW-CWCQ-WW-RTTYCQ-WW-SSBEA-RTTYIARU-HFOK-OM-DX-CWWAE-CWWAE-RTTY
Single-Op peer groups CW / RTTY / SSB coverage Controlled access workflow Protected processing workflow Minute-level Cabrillo timestamps
Peer comparison is category-aware: contest, year, mode, power, band and assistance are used where available. Automation Evidence is independent from claimed rank. Logger/CREATED-BY clustering is context only and never adds score by itself.

1Drop a Cabrillo log to analyze

📄
Drop a Cabrillo log here, or click to select
Accepts .log, .cbr, .txt — single-op logs only
Public Results Library
Detailed public results are available for selected major contest/year datasets from 2020 onward. Older historical scans may be shown as summary-only context. Batch scans run through the protected review workflow.
Waiting for public library…
1. Choose contest
Choose a contest family to select mode and year.
Waiting for public library…
Batch scan results
Contest / year / category
Waiting for logs…
Waiting for logs…
Sorted by Automation Evidence first, then Review Priority, claimed rank and score.
Click a row to open the full review. Default view shows review-relevant cases. Rank is claimed/pre-adjudication and is computed from CLAIMED-SCORE inside each loaded category group. JSON is kept as the technical/dev evidence export; CSV/PDF are for easier human review.

2File integrity

3Automation-like pattern markers

4Full peer-group comparison

5Detailed operating statistics