[Search] Fix more capitalization and formatting issues

Author: Bruce Johnston

articles/search/index-add-scoring-profiles.md

@@ -32,7 +32,7 @@ translation.priority.mt:
  To give you an idea of what a scoring profile looks like, the following example shows a simple profile named 'geo'. This one boosts items that have the search term in the **hotelName** field. It also uses the `distance` function to favor items that are within ten kilometers of the current location. If someone searches on the term 'inn', and 'inn' happens to be part of the hotel name, documents that include hotels with 'inn' within a 10 KM radius of the current location will appear higher in the search results.  
 
 
-```  
+```json
 "scoringProfiles": [
   {  
     "name":"geo",
@@ -87,7 +87,7 @@ The search score is computed based on statistical properties of the data and the
 
  This example shows the schema of an index with two scoring profiles (`boostGenre`, `newAndHighlyRated`). Any query against this index that includes either profile as a query parameter will use the profile to score the result set.  
 
-```  
+```json
 {  
   "name": "musicstoreindex",  
   "fields": [  
@@ -256,10 +256,10 @@ The search score is computed based on statistical properties of the data and the
 
 |||  
 |-|-|  
-|`Linear`|For items that are within the max and min range, the boost applied to the item will be done in a constantly decreasing amount. Linear is the default interpolation for a scoring profile.|  
-|`Constant`|For items that are within the start and ending range, a constant boost will be applied to the rank results.|  
-|`Quadratic`|In comparison to a Linear interpolation that has a constantly decreasing boost, Quadratic will initially decrease at smaller pace and then as it approaches the end range, it decreases at a much higher interval. This interpolation option is not allowed in tag scoring functions.|  
-|`Logarithmic`|In comparison to a Linear interpolation that has a constantly decreasing boost, Logarithmic will initially decrease at higher pace and then as it approaches the end range, it decreases at a much smaller interval. This interpolation option is not allowed in tag scoring functions.|  
+|`linear`|For items that are within the max and min range, the boost applied to the item will be done in a constantly decreasing amount. Linear is the default interpolation for a scoring profile.|  
+|`constant`|For items that are within the start and ending range, a constant boost will be applied to the rank results.|  
+|`quadratic`|In comparison to a Linear interpolation that has a constantly decreasing boost, Quadratic will initially decrease at smaller pace and then as it approaches the end range, it decreases at a much higher interval. This interpolation option is not allowed in tag scoring functions.|  
+|`logarithmic`|In comparison to a Linear interpolation that has a constantly decreasing boost, Logarithmic will initially decrease at higher pace and then as it approaches the end range, it decreases at a much smaller interval. This interpolation option is not allowed in tag scoring functions.|  
 
  ![Constant, linear, quadratic, log10 lines on graph](media/scoring-profiles/azuresearch_scorefunctioninterpolationgrapht.png "AzureSearch_ScoreFunctionInterpolationGrapht")