Preclinical and Clinical Studies Targeting Therapeutic Hypothermia in Cerebral Ischemia and Stroke
Bibliographic record
Abstract
Therapeutic Hypothermia and Temperature ManagementVol. 3, No. 1 Expert Panel DiscussionsPreclinical and Clinical Studies Targeting Therapeutic Hypothermia in Cerebral Ischemia and StrokeModerator: Patrick Lyden, Participants: Fred Colbourne, Patrick Lyden, and Stefan SchwabModerator: Patrick LydenDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, California.Search for more papers by this author, Participants: Fred ColbourneCenter for Neuroscience, Department of Psychology, University of Alberta, Alberta, Canada.Search for more papers by this author, Patrick LydenDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, California.Search for more papers by this author, and Stefan SchwabDepartment of Neurology, University of Erlangen-Nurnberg, Erlangen, Germany.Search for more papers by this authorPublished Online:13 Mar 2013https://doi.org/10.1089/ther.2013.1500AboutSectionsView articleView Full TextPDF/EPUB ToolsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetailsCited byProtecting the ischaemic penumbra as an adjunct to thrombectomy for acute stroke19 April 2018 | Nature Reviews Neurology, Vol. 14, No. 6 Volume 3Issue 1Mar 2013 InformationCopyright 2013, Mary Ann Liebert, Inc.To cite this article:Moderator: Patrick Lyden, Participants: Fred Colbourne, Patrick Lyden, and Stefan Schwab.Preclinical and Clinical Studies Targeting Therapeutic Hypothermia in Cerebral Ischemia and Stroke.Therapeutic Hypothermia and Temperature Management.Mar 2013.3-6.http://doi.org/10.1089/ther.2013.1500Published in Volume: 3 Issue 1: March 13, 2013PDF download
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".