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Saved search conditions {{ preCondition.lop }} {{preUserSearchSettings[preCondition.q][0]}} {{preUserSearchSettings[preCondition.q][1] ? '(' + preUserSearchSettings[preCondition.q][1] + ')' : ''}} {{preCondition.key}} Import Numbers {{numberInfo.n}} Sub words {{sq}} Published Countries {{country}} Kind Codes {{kindGroup}} Legal Status {{status}} Period {{periodType}} : {{period.join('~')}} Custom Pre Label filter {{preFilterLabels.join(',')}} Custom Label filter {{filterLabels.join(',')}} Citation merge {{type}} {{citations.cited_depth}} {{citations.citing_depth}} Latest updates {{latest}} Filters (Details) {{condition.lop}} {{condition.key}} : {{condition.q}} {{condition.q1}} {{condition.q2}} Semantic score {{sc}}

Rank	Score	AI predict score	Application	Publication	Examined/Granted
{{numberRank.rank}}	{{numberRank.score}}	{{numberRank.predict_score}}	{{numberRank.app_id}}	{{numberRank.pub_id}}	{{numberRank.exam_id}}

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Application Publication Examined/Granted : {{candidate.n}}

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Name {{userSearchSetting.title}}

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Created at : {{userSearchSetting.created_at | strftime('YYYY-MM-DD')}}
N hits on last searched : {{userSearchSetting.last_searched_n_hits}}

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{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

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Query Empty query Query must be less than 1000 characters Already exists Invalid number Too many supervised labels Too many prediction labels

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Pupervised labels Import from file Save supervised labels Edit supervised labels Save supervised labels CSV DL Delete All Parameter Settings Manual - Accuracy : {{Math.floor((trainAccuracy * 100)) / 100}} Precision : {{Math.floor((trainPrecision * 100)) / 100}} Recall : {{Math.floor((trainRecall * 100)) / 100}} F-measure : {{Math.floor((trainFMeasure * 100)) / 100}}

Prediction labels Import from file Save prediction labels Edit prediction labels Save prediction labels CSV DL Delete All Parameter Settings Manual - Accuracy : {{Math.floor((accuracy * 100)) / 100}} Precision : {{Math.floor((precision * 100)) / 100}} Recall : {{Math.floor((recall * 100)) / 100}} F-measure : {{Math.floor((FMeasure * 100)) / 100}}

C : Cost

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{{trainPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

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{{predictPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{Math.floor((label.ps * 1000)) / 1000}} {{Math.floor((label.ps * 1000)) / 1000}} {{label.pcs.join(',')}} {{label.pl}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

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名寄せ出願人名

原作者名: 文部科学省科学技術・学術政策研究所

タイトル：NISTEP企業名辞書
URL：http://www.nistep.go.jp/research/scisip/data-and-information-infrastructure

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