21 to 30 of 43 Results
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 12.5 MB -
MD5: 00f58184dd31093f34bb861378792b51
the vectorizer to generate unigram 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 - 7.1 MB -
MD5: 90e61f79e3e6d7a9be3952d606935455
the vectorized clinical trial registrations. These only contains those on the ground truth list. The vectors are based on the token frequency of unigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 7.3 MB -
MD5: 3c96d44a0e4fc3a56718804f59d7b0a7
the vectorized PubMed articles. These only contains those on the ground truth list. The vectors are based on the token frequency of unigram tokens. |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 4.8 MB -
MD5: 73b43fbf9c4af026abac3811dea6dd22
the vectorizer to generate unigram 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 - 8.7 MB -
MD5: 2316bfcf158a6b6845805240d3c5bdf3
the vectorizer to generate unigram 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 - 99.9 MB -
MD5: 485b66afe3d8b031c745ae94249179da
the vectorized PubMed articles. These contains all the clinical trial registrations. 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 - 300.8 MB -
MD5: f1c8d0383f22a3482bb2a7f8169dc902
the vectorized clinical trial registrations. These contains all the PubMed articles. 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 - 244.0 MB -
MD5: b4f0d8d245273e81378582b344419412
the vectorizer to generate bigram token frequency-inverse document frequncy vector for candidate clinical trial registrations text |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 545.2 MB -
MD5: d4e1dbf4e352e0025287d4b089048418
the vectorizer to generate bigram token frequency-inverse document frequncy vector for candidate PubMed article text |
Dec 5, 2021 -
Replication Data for: Identifying unreported links between ClinicalTrials.gov trial registrations and their published results
Unknown - 183.9 MB -
MD5: 33057de95c944e860301506fb6f6f891
the vectorized clinical trial registrations. These contains all the PubMed articles. The vectors are based on the token frequency of bigram tokens. |