CNI-v4 submission

leaderboard/submissions/CNI-v4/metadata.json

@@ -0,0 +1,10 @@
+{
+  "detector_name": "CNI v4 — Cognitive Negligence Index",
+  "contact_info": "Alan Crawley",
+  "date_released": "2025-05-21",
+  "website": "",
+  "paper_link": "",
+  "huggingface_link": "",
+  "github_link": "",
+  "additional_metadata": "Etiological detector based on Ginzburg's indicial paradigm. 18 cognitive process features. XGBoost classifier. No neural backbone. Zero-shot on RAID."
+}

leaderboard/submissions/CNI-v4/results.json

@@ -0,0 +1,66 @@
+{
+  "_autogen_note": "This file is automatically generated by the RAID leaderboard submission script. Do not edit this file manually or include it in new submissions' PRs.",
+  "_submission_hash": "be2220e2775ca1156c1c76b2927b1349779433f02a565999eb5e735bf9b57073",
+  "_results_hash": "17f5b7fb8bb9dddceb864d65cb2158e5072d7769a85f7a601453976289dc4fb0",
+  "date_released": "2025-05-21",
+  "detector_name": "CNI v4 \u2014 Cognitive Negligence Index",
+  "contact_info": "Alan Crawley",
+  "website": "",
+  "paper_link": "",
+  "huggingface_link": "",
+  "github_link": "",
+  "additional_metadata": "Etiological detector based on Ginzburg's indicial paradigm. 18 cognitive process features. XGBoost classifier. No neural backbone. Zero-shot on RAID.",
+  "score_agg": {
+    "all": {
+      "_note": "No aggregate score across all settings is reported here as some domains/generator models/decoding strategies/repetition penalties/adversarial attacks were not included in the submission. This submission will not appear in the main leaderboard; it will only be visible within the splits in which all samples were evaluated."
+    },
+    "no_adversarial": {
+      "_note": "No aggregate score across all non-adversarial settings is reported here as some domains/generator models/decoding strategies/repetition penalties were not included in the submission."
+    }
+  },
+  "scores": [],
+  "thresholds": {
+    "0.05": {
+      "abstracts": 0.9503612769301981,
+      "books": 0.926126664876938,
+      "news": 0.9565910820569843,
+      "poetry": 0.9783750201296062,
+      "recipes": 0.3964924680348486,
+      "reddit": 0.7633823914569802,
+      "reviews": 0.9843767352215944,
+      "wiki": 0.9596331304684282
+    },
+    "0.01": {
+      "abstracts": 0.9894237769301981,
+      "books": 0.957376664876938,
+      "news": 0.9899773125257343,
+      "poetry": 0.9907041216921062,
+      "recipes": 0.6777424680348485,
+      "reddit": 0.9547886414569802,
+      "reviews": 0.9960954852215944,
+      "wiki": 0.9767229742184282
+    }
+  },
+  "fpr": {
+    "0.05": {
+      "abstracts": 0.050000000000000044,
+      "books": 0.050000000000000044,
+      "news": 0.050000000000000044,
+      "poetry": 0.050000000000000044,
+      "recipes": 0.050000000000000044,
+      "reddit": 0.050000000000000044,
+      "reviews": 0.050000000000000044,
+      "wiki": 0.050000000000000044
+    },
+    "0.01": {
+      "abstracts": 0.010000000000000009,
+      "books": 0.010000000000000009,
+      "news": 0.010000000000000009,
+      "poetry": 0.010000000000000009,
+      "recipes": 0.010000000000000009,
+      "reddit": 0.010000000000000009,
+      "reviews": 0.010000000000000009,
+      "wiki": 0.010000000000000009
+    }
+  }
+}