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{{crossRecords["titles"].join(', ')}}
  • {{record[crossRecords.columns[0]]}} , {{record[crossRecords.columns[1]]}} , {{record[crossRecords.columns[2]]}} , {{record._nsubrecs}} , {{Math.round(Number(record._sum) * Math.pow(10, 3)) / Math.pow(10, 3)}} , {{Math.round(Number(record.total) * Math.pow(10, 3)) / Math.pow(10, 3)}}

{{drilldownsRecordsTitles[key]}}

{{record.group_label}} {{Math.round(Number(record._sum) * Math.pow(10, 3)) / Math.pow(10, 3)}} {{record._nsubrecs}}

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Binary class Multi class Multi label # of train labels {{supervisedLabelSetsApp.countLabelName("1")}} {{supervisedLabelSetsApp.countLabelName("-1")}} # of train labels {{supervisedLabelSetsApp.trainLabelsSize}}
Applying semnantic score
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Score
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Top N hits setting
Search conditions
Show search conditions
Saved search conditions {{ preCondition.lop }} {{navApp.preUserSearchSettings[preCondition.q][0] | truncate(20)}} {{navApp.preUserSearchSettings[preCondition.q][1] ? '(' + navApp.preUserSearchSettings[preCondition.q][1] + ')' : ''}} {{preCondition.key}}
Import Numbers {{numberInfo.n}}
Main query {{navApp.q | truncate(50)}}
Sub words {{navApp.sq | truncate(50)}}
Kind Codes {{kindGroup}}
Legal Status {{status}}
Countries of Publication {{country}}
Period {{navApp.periodType}} : {{navApp.period.join('~')}} {{navApp.periodType}} : {{navApp.period}}
User tag filter {{navApp.filterTags.join(',')}} Custom Pre Label filter {{navApp.preFilterLabels.join(',')}} Train Label filter {{navApp.filterTrainLabels.join(',')}} Pre Train Label filter {{navApp.filterPreTrainLabels.join(',')}} Custom Label filter {{navApp.filterLabels.join(',')}}
Latest updates {{latest}}
Filters (Detailed) {{condition.lop}} {{condition.key}} : {{condition.q}} {{condition.q1}} {{condition.q2}}
Aggregation {{condition.key}} : {{condition.q}} {{condition.key}} : {{condition.from}} ~ {{condition.to}}
Agg filter {{condition.key}} : {{condition.filter}}
Aggregation {{condition.key}} : {{condition.conditions}} {{condition.key}} : {{condition.from}} ~ {{condition.to}}
Agg filter {{condition.key}} : {{condition.filter}}
Representative Family merge
Family in Japanese
Family in English
Parents
Citation merge {{type}} {{navApp.citations.cited_depth}} {{navApp.citations.citing_depth}}
Semantic score {{navApp.sc}} Score/Label filter {{condition.lop}} {{condition.key}} : {{condition.q}} {{condition.q1}} {{condition.q2}}

The Patent timeline is based on patent publication or patent data from JPO/USPTO, but it does not represent or warrant legal effect. Patentfield disclaims all warranties as to the content or materials in this information and does not represent or warrant that any part of this information is accurate, complete, reliable, or error-free.

number {{translatedAllConditions['title']}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{t.target_keys[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} {{translatedAllConditions[attr]}} AI pre label AI pre score AI label AI score
{{recordsOffsetValue+i+1}} {{Math.floor((result.record._score * 1000)) / 1000}} {{col.q}} {{Math.floor((result.record[col.key] * 1000)) / 1000}} {{result.record[attr]}} {{result.record[attr] | join(',') }} {{label_info.name}} {{label_info.name}} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | join(',') }} {{result.record[attr] | uniq | join(',') }} {{result.record[attr]}} {{result.record[attr] | join(',') }} {{result.record[attr].split('^') | join(',') }}

{{key}} : {{weight.toFixed(2)}}
  • {{pre_predict_label}} : {{Math.floor((result.record.pre_predict_candidates_score[pi] * 1000)) / 1000}}
  • {{result.record.pre_predict_label}} : {{Math.floor((result.record.pre_predict_score * 1000)) / 1000}}
  • -
  • {{Math.floor((result.record.pre_predict_score * 1000)) / 1000}}
  • {{predict_label}} : {{Math.floor((result.record.predict_candidates_score[pi] * 1000)) / 1000}}
  • {{result.record.predict_label}} : {{Math.floor((result.record.predict_score * 1000)) / 1000}}
  • -
  • + UP + UP {{Math.floor((result.record.predict_score * 1000)) / 1000}} - DOWN - DOWN

{{recordsOffsetValue+i+1}}

Score {{Math.floor((result.record._score * 1000)) / 1000}} {{col.q}} {{Math.floor((result.record[col.key] * 1000)) / 1000}}

Application number {{result.record.app_doc_id}} {{t.target_keys.applicants}} AI label {{result.record.predict_label}} : {{Math.floor((result.record.predict_score * 1000)) / 1000}} - AI score {{Math.floor((result.record.predict_score * 1000)) / 1000}} -

{{recordsOffsetValue+(i*3+j)+1}}

{{Math.floor((result.record._score * 1000)) / 1000}} {{col.q}} {{Math.floor((result.record[col.key] * 1000)) / 1000}}

Application number {{result.record.app_doc_id}}

{{t.target_keys.applicants}} {{label_info.name}} {{label_info.name}}

AI label {{result.record.predict_label}} : {{Math.floor((result.record.predict_score * 1000)) / 1000}} -

AI score {{Math.floor((result.record.predict_score * 1000)) / 1000}} -

No Image

{{recordsOffsetValue+i+1}}

Score {{Math.floor((result.record._score * 1000)) / 1000}} {{col.q}} {{Math.floor((result.record[col.key] * 1000)) / 1000}}

Expression tags : {{k}} : , {{expr_tag}} Rating : {{result.record.rating}}
Delete
Tags : , {{patent_tagging}} {{tagGroup.name}} : {{result.record['patent_taggings#' + tagGroup.id.toString()]}} {{tagGroup.name}} : , {{patent_tagging}}
  • {{ patent_tagging }}
  • {{result.record['patent_taggings#' + tagGroup.id.toString()]}}
  • {{ patent_tagging }}
Notes

AI pre label

  • predict
  • {{pre_predict_label}} : {{Math.floor((result.record.pre_predict_candidates_score[pi] * 1000)) / 1000}}
  • {{result.record.pre_predict_label}} : {{Math.floor((result.record.pre_predict_score * 1000)) / 1000}}
  • -
  • train
  • {{result.record.pre_train_label[0]}}
  • {{tlabel}}
  • -

AI pre score

  • {{Math.floor((result.record.pre_predict_score * 1000)) / 1000}}

AI label

  • predict
  • {{predict_label}} : {{Math.floor((result.record.predict_candidates_score[pi] * 1000)) / 1000}}
  • {{result.record.predict_label}} : {{Math.floor((result.record.predict_score * 1000)) / 1000}}
  • -
    Delete
    {{label}}
  • train
  • {{result.record.train_label[0]}}
  • {{tlabel}}
  • -

AI score

  • + UP + UP {{Math.floor((result.record.predict_score * 1000)) / 1000}} - DOWN - DOWN
For all checked:
Abstract Top Claim (Granted basis)
{{label}} Delete
Delete
Delete
Delete