adding false values

data/columns.csv

@@ -6,22 +6,22 @@ day_of_year,,TRUE,integer,user,day of the year.  Must be between 1 and 366
 year,,TRUE,integer,user,year of the observation
 latitude,deimalLatitude,TRUE,float,user,latitude with precision up to 6 decimal places
 longitude,decimalLongitude,TRUE,float,user,longitude with precision up to 6 decimal places
-coordinate_uncertainty_meters,positional_accuracy,,integer,user,coordinate uncertainty in meters
+coordinate_uncertainty_meters,positional_accuracy,FALSE,integer,user,coordinate uncertainty in meters
 family,,TRUE,keyword,user,family of the organism
 count_family,,TRUE,integer,user,Thhe number of records that were annotated at the taxon rank of family associated with the identified occurrence
 genus,,TRUE,text,user,
 scientific_name,,TRUE,text,user,scientific name of the observed organism
 taxon_rank,rank,TRUE,text,user,taxonomic rank of the scientific name
-basis_of_record,,,text,user,basis of record of oberserved organism.  See darwin core reference for values
-individual_id,individualID,,text,user,individual ID of the observed organism
-occurrence_id,occurrenceID,,text,user,occurrence ID of the observed organism
-verbatim_trait,,,text,user,Verbatim description of the trait
+basis_of_record,,FALSE,text,user,basis of record of oberserved organism.  See darwin core reference for values
+individual_id,individualID,FALSE,text,user,individual ID of the observed organism
+occurrence_id,occurrenceID,FALSE,text,user,occurrence ID of the observed organism
+verbatim_trait,,FALSE,text,user,Verbatim description of the trait
 trait,,TRUE,text,user,"Trait tested.  Currently ""flower"" or ""fruit"""
 observed_image_guid,photo_id,TRUE,text,user,Globally Unique Identifier of the image
 observed_image_url,,TRUE,text,user,URL for the image
 certainty,,TRUE,keyword,user,Certainy of machine observation (Equivocal or Unequivocal)
 model_uri,,TRUE,text,user,URI of the model
-error_message,,,text,user,Error messages from processing
+error_message,,FALSE,text,user,Error messages from processing
 event_date,eventDate,TRUE,text,user,
 predition_probability,prediction_prob,TRUE,float,user,"""A score from 0-1 which represent a scaled probability of presence or absence of a trait"""
 prediction_class,prediction_class,TRUE,text,user,"a categorical description of the annotation outcome, in this case either ""Detected"" or ""Not detected"""