fixes

Author: cemreinanc

front_end/src/app/(main)/labor-hub/sections/methodology.tsx

@@ -583,7 +583,7 @@ export function MethodologySection({ ...props }: ComponentProps<"section">) {
                 published literature. In the literature, these exposure or
                 vulnerability ratings were generally created by judgmental
                 assessments of the automatability of various tasks and mapping
-                those tasks onto occupations classifications.
+                those tasks onto occupational classifications.
               </p>
               <p>
                 In the work presented on this dashboard, the vulnerability

front_end/src/app/(main)/labor-hub/sections/research.tsx

@@ -205,7 +205,7 @@ export function ResearchSection({
             , estimating how much the typical tasks and abilities in each
             occupation overlap with what generative AI systems are good at. Data
             was based on 2010 SOC codes, which Metaculus has crosswalked to the
-            2018 SOC. The paper presents both language modeling and imager
+            2018 SOC. The paper presents both language modeling and image
             generation exposure scores, from which only language modeling scores
             are used here.
           </li>

front_end/src/components/charts/primitives/timeline_markers/group_timeline_markers_overlay.tsx

@@ -126,6 +126,7 @@ export function renderGroupTimelineMarkers({
 
     elements.push(
       <VictoryLine
+        key={`${marker.id}-line`}
         data={[
           { x: marker.timestamp, y: yMin },
           { x: marker.timestamp, y: yMax },
@@ -143,6 +144,7 @@ export function renderGroupTimelineMarkers({
 
     elements.push(
       <VictoryScatter
+        key={`${marker.id}-point`}
         data={[
           {
             x: marker.timestamp,