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candidates

Every statement both blind runs produced (3,819), with its full trail: script check → verifier verdict and reason → adjudicator ruling and reason → whether it is in the final set. Most rejections are duplicates between the two runs.

Data license: Not yet licensed — internal review only · Data source: Ahmed ElBatanony, Innopolis University

1 row where adjudicator = "rejected (duplicate upheld)", app_id = "F2-007" and run = "a"

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verifier_verdict 1

  • rejected 1

run 1

  • a · 1 ✖

in_final_set 1

  • 0.0 1

app_id 1

  • Userback · 1 ✖

adjudicator 1

  • rejected (duplicate upheld) · 1 ✖
candidate_id ▼ app_id run statement excerpt source_url source_file script_check verifier_verdict verifier_reason verifier_correction adjudicator adjudicator_reason in_final_set
F2-007-A064 Userback F2-007 a The system automatically groups similar feedback into themes using AI AI Themes groups similar feedback into themes automatically, using AI, so you can see patterns across dozens or hundreds of items without reading each one. https://support.userback.io/en/articles/13265550-ai-features-in-userback 14.txt passed rejected duplicate of F2-007-A059   rejected (duplicate upheld) duplicate upheld 0.0

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CREATE TABLE [candidates] ([candidate_id] TEXT PRIMARY KEY, [app_id] TEXT, [run] TEXT, [statement] TEXT, [excerpt] TEXT, [source_url] TEXT, [source_file] TEXT, [script_check] TEXT, [verifier_verdict] TEXT, [verifier_reason] TEXT, [verifier_correction] TEXT, [adjudicator] TEXT, [adjudicator_reason] TEXT, [in_final_set] REAL, FOREIGN KEY ([app_id]) REFERENCES apps(app_id));
CREATE INDEX [idx_candidates_app_id] ON [candidates]([app_id]);
CREATE INDEX [idx_candidates_run] ON [candidates]([run]);
CREATE INDEX [idx_candidates_verifier_verdict] ON [candidates]([verifier_verdict]);
CREATE INDEX [idx_candidates_adjudicator] ON [candidates]([adjudicator]);
Powered by Datasette · Queries took 863.673ms · Data license: Not yet licensed — internal review only · Data source: Ahmed ElBatanony, Innopolis University