update app and metric scripts for v1.1.1 release

gmass_app.py

@@ -77,7 +77,7 @@ REQUIRED_ENV_BY_MODEL = {
     "biomistral": "HF_TOKEN",
 }
 
-APP_VERSION = "1.1.0"
+APP_VERSION = "1.1.1"
 
 PUBLIC_METRICS_PATH = ROOT / "data" / "public_metrics" / "benchmark_summary.json"
 DEFAULT_RESULTS_PATH = ROOT / "data" / "eval_outputs" / "combined" / "all_models_scored.jsonl"
@@ -781,7 +781,8 @@ G-MASS provides a tiered judge system to support institutions ranging from edge
 
 ### 🏷️ Release History & Version Tags
 
-- **v1.1.0 (Current Release)**: Public metric export layer, dynamic dataset autodiscovery, compute tiering, safety drift detection engine, and community issue tracking.
+- **v1.1.1 (Current Release)**: Institutional transition to Biomedical Technologies Lab, 300-probe dataset synchronization, automated Windows setup robustness, and test scaffolding under `tests/manual/`.
+- **v1.1.0**: Public metric export layer, dynamic dataset autodiscovery, compute tiering, safety drift detection engine, and community issue tracking.
 - **v1.0.0 (Initial Baseline)**: Initial 150-probe bilingual benchmark with LlamaGuard3, AfroLM, and Gemma ensemble.
 
 ---
@@ -1018,7 +1019,7 @@ function() {
 }
 """
 
-with gr.Blocks(title="G-MASS v1.1.0", theme=gr.themes.Soft(primary_hue="blue"), css=CSS, js=JS_THEME_INIT) as demo:
+with gr.Blocks(title="G-MASS v1.1.1", theme=gr.themes.Soft(primary_hue="blue"), css=CSS, js=JS_THEME_INIT) as demo:
     gr.HTML(
         f"""
         <div class="gmass-header">

run_bilingual_eval.py

@@ -59,7 +59,7 @@ def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
     parser.add_argument(
         "--version",
         action="version",
-        version="G-MASS v1.1.0",
+        version="G-MASS v1.1.1",
         help="Show program's version number and exit",
     )
     parser.add_argument(

scripts/export_public_metrics.py

@@ -60,7 +60,7 @@ def collect_scored_records(
     return records
 
 
-def generate_public_metrics(scored_records: list[dict], version: str = "1.1.0") -> dict:
+def generate_public_metrics(scored_records: list[dict], version: str = "1.1.1") -> dict:
     """
     Compute aggregate benchmark metrics stripped of any raw prompt or response text.
     """
@@ -175,8 +175,8 @@ def main() -> None:
     )
     parser.add_argument(
         "--version",
-        default="1.1.0",
-        help="G-MASS benchmark software version (default: 1.1.0)",
+        default="1.1.1",
+        help="G-MASS benchmark software version (default: 1.1.1)",
     )
     args = parser.parse_args()