11 to 20 of 43 Results
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 18.1 MB -
MD5: e154ac694b246eb72278c5890aff380b
the vectorized PubMed articles. These only contains those on the ground truth list. The vectors are based on the token frequency-inverse document frequency of bigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 272.5 MB -
MD5: bc74f1b1550c21dd0848879383bcaaf7
the vectorizer to generate bigram token frequency-inverse document frequncy vector for input PubMed article text |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 609.8 MB -
MD5: cd9f4e4ca594d7ffedbdf9726ee03b31
the vectorizer to generate bigram token frequency-inverse document frequncy vector for input clinical trial registration text |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 11.9 MB -
MD5: c92d857685c7da94cf5bb40317b04577
the vectorized clinical trial registrations. These only contains those on the ground truth list. The vectors are based on the token frequency of bigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 10.8 MB -
MD5: 84d53df334ac52fd4e94501ab1993d74
the vectorized PubMed articles. These only contains those on the ground truth list. The vectors are based on the token frequency of bigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 454.8 MB -
MD5: 07ed791c498ab08a78bdd7b810f3c414
the vectorizer to generate bigram token frequency vector for input clinical trial registration text |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 204.1 MB -
MD5: 4c2e5e2a504e14cb589cdcd9dcd1e0f5
the vectorizer to generate bigram token frequency vector for input PubMed article text |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 16.2 MB -
MD5: 093b54470e95d8e47db022cd22f5ce25
the vectorized PubMed articles. These only contains those on the ground truth list. The vectors are based on the token frequency-inverse document frequency of unigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 14.9 MB -
MD5: 125aa883135e8ec4d7648fdee1a19434
the vectorized clinical trial registrations. These only contains those on the ground truth list. The vectors are based on the token frequency-inverse document frequency of unigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 6.9 MB -
MD5: 47c245b33e51afa9cde6fc02b7cdab1d
the vectorizer to generate unigram token frequency-inverse document frequncy vector for input PubMed article text |