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Record W4386625145 · doi:10.1097/aln.0000000000004707

Journal-related Activities and Other Special Activities at the 2023 American Society of Anesthesiologists Meeting

2023· article· en· W4386625145 on OpenAlexaboutno aff
Michael J. Avram, Brian T. Bateman, Deborah J. Culley, Ana Fernandez-Bustamante, Timothy T. Houle, Martin J. London, James P. Rathmell, Kristin L. Schreiber, Marcos F. Vidal Melo

Bibliographic record

VenueAnesthesiology · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmerican society of anesthesiologistsMedical educationAnesthesia

Abstract

fetched live from OpenAlex

As in previous years, Anesthesiology will sponsor several sessions at the annual meeting of the American Society of Anesthesiologists (ASA), ANESTHESIOLOGY® 2023. The meeting is being held in San Francisco, California. Details about the format and meeting attendance can be found on the website, asahq.org/annualmeeting.Saturday, October 14, 2023, 10:15amto 11:15amRoom South 216Michael J. Avram, Ph.D., Assistant Editor-in-Chief, Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.The editors of Anesthesiology have organized this session to inform authors how to write and prepare a manuscript by providing a clear understanding of what is expected of both research that is considered the best and the manuscript describing it. The goal is to help authors create the best clinical and basic science research for publication. Reviewers will benefit from this session as well by learning how to identify key aspects of the best clinical and basic science research.“Introduction: Secrets of Successful Manuscript Preparation”James P. Rathmell, M.D., M.B.A., Interim Co-Editor-in-Chief, Anesthesiology, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts.“A Primer on Study Design, Analysis, and Interpretation”Timothy T. Houle, Ph.D., Statistical Editor, Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts.“How to Prepare an Original Research Manuscript”Andrew Davidson, M.B.B.S., M.D., F.A.N.Z.C.A., F.A.H.M.S., Executive Editor, Anesthesiology, Royal Children’s Hospital and Murdoch Children’s Research Institute, Victoria, Australia“How to Write a Review Article and a Few Tips on What Not to Do”Deborah J. Culley, M.D., Interim Co-Editor-in-Chief, Anesthesiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PennsylvaniaSaturday, October 14, 2023, 1:15pmto 3:15pmRoom South 216Martin J. London, M.D. (lead), Editor, Anesthesiology, University of California, San Francisco School of Medicine and the Veterans Affairs Medical Center, San Francisco, California; Timothy T. Houle, Ph.D., Statistical Editor, Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts.Artificial intelligence is transforming medicine. The implementation of artificial intelligence in anesthesia and critical care, including the hypotension prediction index, drug controllers, echocardiography, and radiology, will be critically reviewed by leaders in the field in this session sponsored by Anesthesiology.“Predictive Analytics in the Intraoperative Management of Hemodynamics: Where We Came from and Where We Are Going” by Maxime Cannesson, M.D., Ph.D., University of California Los Angeles, Los Angeles, California.“Predicting Postoperative Complications in Cardiac Surgery: Opportunities and Challenges” by Michael R. Mathis, M.D., Ph.D., University of Michigan Health System, Ann Arbor, Michigan.“Predictive Analytics: Advances at the Interface of Anesthesia and Surgical Management” by Patrick J. Tighe, M.D., M.S., University of Florida College of Medicine, Gainesville, Florida.“Predictive Analytics in Critical Care: Delirium, Trauma, Sepsis and Beyond” by Romain Pirracchio, M.D., Ph.D., University of California, San Francisco, San Francisco, California.“The Classical Epidemiologist and Predictive Analytics: A New Frontier?” by Duminda N. Wijeysundera, M.D., Ph.D., University of Toronto, Toronto, Ontario, Canada.Saturday, October 14, 2023, 3:45pmto 4:45pmRoom South 216Deborah J. Culley, M.D., Interim Co-Editor-in-Chief, Anesthesiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; James P. Rathmell, M.D., M.B.A., Interim Co-Editor-in-Chief, Anesthesiology, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts.Anesthesiology is sponsoring its eighth major clinical trials session, a high-profile, large-audience forum for initial presentations of results of major randomized clinical trials. It is designed for substantial trials, usually randomized and blinded, with clinically important primary outcomes.Anesthesiology is sponsoring two best abstract sessions: one in basic science and another in clinical science. The abstracts were chosen by a panel of editors who examined the highest scoring abstracts from the ASA subcommittees, choosing those with important scientific and clinical application and novelty. The following are summaries of the excellent abstracts that will be presented.Sunday, October 15, 2023, 7:30amto 9:30amRoom South 213/214Michael J. Avram, Ph.D. (lead), Assistant Editor-in-Chief, Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Deborah J. Culley, M.D., Interim Co-Editor-in-Chief, Anesthesiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Martin J. London, M.D., Editor, Anesthesiology, University of California, San Francisco School of Medicine and the Veterans Affairs Medical Center, San Francisco, California.“Differential Transcriptomic Changes of Downstream Hypoxia-inducible Factor-1α Genes Indicative of Lung Injury in the Atelectatic Mechanically Ventilated Lung: An Exploratory Analysis” by Tanvee Singh, M.D., M.P.H., Gabriel C. Motta-Ribiero, Ph.D., Takuga Hinoshita, M.D., Ph.D., Marcos Lessa, M.D., Ph.D., Tingting W. Mills, Ph.D., Xiaoyi Yuan, Ph.D., Holger K. Eltzschig, M.D., Ph.D., Marcos Francisco Vidal Melo, M.D., Ph.D., Congli Zeng, M.D., Ph.D.Department of Anesthesiology, Columbia University Irving Medical Center, New York, New York (T.S., M.F.V.M., C.Z.); Pulmonary Engineering Laboratory, Biomedical Engineering Program (PEB/COPPE), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil (G.C.M.-R.); Department of Intensive Care Medicine, Tokyo Medical and Dental University, Tokyo, Japan (T.H.); Laboratory of Cardiovascular Investigation, Oswaldo Cruz Institute–Fiocruz, Rio de Janeiro, Brazil (M.L.); and McGovern Medical School, University of Texas, Houston, Texas (T.W.M., X.Y., H.K.E.).Atelectasis during mechanical ventilation leads to hypoxemia and susceptibility to lung injury. Hypoxia-inducible factor-1α modulates transcription of numerous genes associated with adaptation to hypoxia and inflammation. The hypothesis that atelectasis produces local transcriptomic changes in hypoxia-inducible factor-1α target genes indicative of lung injury and that this response is exacerbated by systemic endotoxemia was tested in a sheep model of one-lung collapse and mechanical ventilation. There were distinct local transcriptomic changes in hypoxia-inducible factor-1α target genes related to cell cycle (CCNG2), stress response (ALDOC), and inflammation (SERPINE1) indicative of lung injury that were exacerbated by systemic endotoxemia.“Dynamic Lung Aeration and Strain with Positive End-expiratory Pressure Individualized to Maximal Compliance versus ARDSNet Low-stretch Strategy: A Study in a Surfactant Depletion Model of Lung Injury” by Congli Zeng, M.D., Ph.D., Min Zhu, Ph.D., Gabriel Motta-Ribeiro, Ph.D., David Lagier, M.D., Ph.D., Takuga Hinoshita, M.D., Ph.D., Mingyang Zang, M.S., Kira Grogg, Ph.D., Tilo Winkler, Ph.D., Marcos Francisco Vidal Melo, M.D., Ph.D.Columbia University Medical Center, New York, New York (C.Z., M.Z., M.F.V.M.); Federal University of Rio de Janeiro, Rio de Janeiro, Brazil (G.M.-R.); University Hospital Timone, Marseille, France (D.L.); Clinic Park, Tokyo, Japan (T.H.); Columbia University, New York, New York (M.Z.); and Massachusetts General Hospital, Boston, Massachusetts (K.G., T.W.).Positive end-expiratory pressure (PEEP) individualized to a maximal respiratory system compliance results in minimal driving pressures with potential outcome benefits. The effects of a maximal compliance-guided PEEP strategy on dynamic lung aeration, strain, and tidal recruitment were studied in a sheep surfactant depletion acute respiratory distress syndrome model. Animals were ventilated in a random sequence with a low-stretch protocol and a maximal compliance PEEP strategy. The maximal compliance PEEP strategy improved end-expiratory/inspiratory whole-lung aeration and its homogeneity without overinflation. It also reduced dynamic strain in middle and ventral regions and tidal recruitment in middle and dorsal areas.“MicroRNA-10b-5p Inhibition as a Novel Therapeutic Strategy for the Treatment of Pulmonary Hypertension” by Varina Clark Onwunyi, M.D., Michael Zargari, B.S., Min Li, Ph.D., Asif Razee, M.Sc., Mansoureh Eghbali, Ph.D., Soban Umar, M.D., Ph.D.Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California.Pulmonary hypertension is associated with pulmonary vascular remodeling that leads to right ventricular failure and death. MicroRNA-10b-5p is a noncoding RNA involved in gene regulation at a post-transcription level in various organs. The hypothesis that pulmonary hypertension is associated with upregulation of lung microRNA-10b-5p and downregulation of its targets, cell adhesion molecule-1 and apoptotic peptidase activating factor-1, was tested in rats in which pulmonary hypertension had been induced. Upregulation of microRNA-10b-5p had pro-proliferative effects in pulmonary hypertension via inhibition of its targets, cell adhesion molecule-1 and apoptotic peptidase activating factor-1. In vivo knockdown of microRNA-10b resulted in rescue of pulmonary hypertension.“E-cigarette Aerosol Exposure Triggers Vascular Inflammation in Rodents” by Eric Gross, M.D., Ph.D., Barbara Hung, B.S., Daniel Simon, B.S., Xuan Yu, Ph.D.Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, California.Tobacco cigarette use is a risk factor for postoperative pain and inflammation. The hypothesis that exposure to e-cigarette aerosol, a primary component of which is aldehydes, can trigger vascular inflammation was tested in wild-type aldehyde dehydrogenase 2 (ALDH2) and heterozygous ALDH2*2 mice subjected to e-cigarette aerosol exposure. Wild-type ALDH2 mice exposed to e-cigarette aerosol had increased biomarkers of inflammation, which were exacerbated in exposed ALDH2*2 mice. The vascular cell adhesion molecule-1, a proinflammatory mediator of vascular endothelium regulated by the nuclear factor κB signaling pathway, was upregulated in ALDH2*2 cells exposed to acetaldehyde compared to wild-type ALDH2 cells.“Development of Protein-based Regenerative Therapeutics to Repair Ventricular Dysfunction” by Jason Maynes, M.D., Ph.D., Libo Zhang, M.D., Azadeh Yeganeh, Ph.D., John Coles, M.D.Departments of Anesthesia and Pain Medicine (J.M., L.Z., A.Y.) and of Cardiovascular Surgery (J.C.), Hospital for Sick Children, Toronto, Ontario, Canada.Heart failure is characterized by poor contractile function, organ remodeling, and reduced ventricular compliance. The hypothesis tested was that a minimal set of biomolecules could be identified from the infant human cardiac stem cell secretome that would provide full reparative benefit. When injected into the peri-infarct region of the myocardium after left anterior descending artery ligation in a rat, the full secretome was able to fully restore left ventricular contractile function, as was a four reparative protein mixture. Mechanistically, whole-secretome and four-protein mixture injections reduced macrophage infiltration, as well as fibroblast activation and senescence and increased vasculogenesis into the infarct border zone.“Transient Receptor Potential Vanilloid-4 (TRPV4) Agonists Induce Contraction in Human Uterine Smooth Muscle Cells: A Translational Approach to Assessing a Novel Uterotonic Agent” by Leziga Obiyo, M.D., M.P.H., Daiana Fornes, Ph.D., Lihua Ying, Ph.D., David N. Cornfield, M.D., Jessica R. Ansari, M.D.Department of Anesthesia and Critical Care, University of Chicago, Chicago, Illinois (L.O.); Stanford University, Palo Alto, California (D.F., L.Y.); Department of Pediatrics, Stanford University, Palo Alto, California (D.N.C.); and Department of Anesthesiology, Stanford University Medical Center, Pacifica, California (J.R.A.).Uterine atony is responsible for approximately 75% of postpartum hemorrhage cases. The hypothesis that transient receptor potential vanilloid-4 (TRPV4) activation causes uterine contraction and might represent a novel therapeutic target to address uterine atony was tested by determining the effect of TRPV4 agonism on contractility of term human uterine tissue samples. Treatment of uterine smooth muscle cells with the TRPV4 agonist GSK1016790A increased cytosolic calcium concentrations ([Ca2+]i). Blockade of TRPV4 with the TRPV4 antagonist HC067047 attenuated agonist-mediated [Ca2+]i increases. The TRPV4 agonist caused uterine smooth muscle cell contraction that blocked the TRPV4 antagonist.“Neuromuscular Blockade Prevents Malignant Hyperthermia” by Paul Allen, M.D., Ph.D., Philip M.D., Ph.D., M.D., Ph.D., M.D., University, Department of University, Department of Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts Medical Center, Florida and Biomedical Research Institute, Florida an in by an in muscle concentrations after after In the were to in a in the had response during without had an that to muscle cells in mice and exposure trigger an and concentrations increased after in and in C. by M.D., Ph.D., M.S., B.S., Ph.D.Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital, Boston, Massachusetts and Department of and University, Boston, Massachusetts have distinct with and well and receptor calcium a for how on the and the the effects of the at the local level have been fully a system for of of and with to how the of and in a Model of by David Ph.D., M.D.Departments of Anesthesiology of Medical and of Anesthesiology and University of of in the are at risk for A model of syndrome caused by a in of the that a was to identify by the response to and of genes of in protein gene and in gene in wild-type by that the in of for of the by M.D., B.S., M.D., J. M.D., M.D., Ph.D., J. M.D.Department of Anesthesiology, Perioperative Medicine, and Pain University of Florida Department of Anesthesiology Pain and Perioperative Medicine, School of Medicine at New York, New York Department of Anesthesiology, Clinic College of Medicine, Florida and Department of Anesthesiology and Intensive Care, University of the during to from to a and A was to of the from the as a for of the for from of in and those for in The of the for of the was and for the the of in Postoperative after Cardiac Surgery: A of the by Ph.D., Ph.D., M.D., C. M.D., General Hospital, Boston, Massachusetts University of and Medical Center, Boston, Massachusetts to of after cardiac with The of in and was in who cardiac with of had identified during the postoperative the learning were to identify the of clinical and that and and were associated with The of clinical and had and and in A by M.D., M.D., M.D., M.D., R. M.D., M.D., M.D., M.D., M.D.Department of Critical Care and Pain Medicine, Medical Center, Boston, hypothesis that understanding and in can be by and was tested in a An and four were designed and for the and on a a and an of of improved and in understanding and and of the October 15, 2023, South 213/214Michael J. Avram, Ph.D. (lead), Assistant Editor-in-Chief, Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Deborah J. Culley, M.D., Interim Co-Editor-in-Chief, Anesthesiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Martin J. London, M.D., Editor, Anesthesiology, University of California, San Francisco School of Medicine and Veterans Affairs Medical Center, San Francisco, in a of Veterans with by B.S., M.S., University School of Medicine, Veterans Affairs System, and University School of Medicine, Veterans Affairs System, is a of a randomized that compared with field in with changes were in the two by 2 after of a the field had improved by the the anterior the and the was changes in pain and versus of Receptor versus by M.D., Ph.D., Ph.D., M.D., M.D., Jessica M.D., M.D.Department of Anesthesiology, University Medical Center, The for Human The and is a receptor agonist that the signaling with activation of the on after of which drug and were at were on The were the clinically the of the of for the was for and Predictive of Uterine during A Study in by James M.D., M.D., M.D., T. M.D., Jessica R. Ansari, M.D.Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, atony causes to of postpartum hemorrhage and to of in without risk in uterine by the and after and a to in which atony and The of uterine to hemorrhage was in an of The the for the of the uterine for postpartum major and were and on for a Management Program with by M.D., M.D., M.D., M.D., Ph.D., M.D., M.D., C. M.D. of Care Medicine of of Analytics and of Medicine Medicine, Department of Anesthesiology, General Hospital, and Department of Anesthesiology and Medical School Boston, the years, the Health to by and to for who The to a annual on a on the for who in a on The clinical of the were to the of a Human the to Surgery and by M.D., Ph.D., M.D., Ph.D., Ph.D., Martin University, Stanford, 2 clinical to a protein modulates the and response to primary were randomized to four of and after were for the of Perioperative with including and and the response on postoperative including a of signaling in General Anesthesia and A in Vascular Surgery by M.D., Daniel M.D., M.D., M.D., M.D., Medical B.S., and of anesthesia can to in The hypothesis that anesthesia the to pressure compared to was tested in a randomized of vascular to pressure with as the The was in the anesthesia and in of Management and Intraoperative Pressure on after by M.D., Li, Ph.D., M.D., M.D., M.D., Michael M.D., Institute, Department of and hypotension and The effects of and hypotension on postoperative were in a of who A of of had hypotension during the was to and the of postoperative was Intraoperative hypotension and of were associated with increased of postoperative in and The of in Mechanically Ventilated by M.D., M.Sc., M.D., M.D., R. M.D., M.P.H., M.P.H., Daniel M.D., M.P.H., M.D., M.Sc., M.D., M.D., Ph.D.Department of Medical Center, Boston, Massachusetts Department of and Critical Care Medicine, Columbia University New York, New York and Pulmonary Laboratory, University of of Medicine Hospital, Brazil pressure to lung tissue in the of can be in and tissue death. with the of in the of lung from in ventilated acute respiratory distress syndrome was compared who and who had at the of mechanical ventilation. who had increased had with driving pressure being the versus in Intensive Care A by M.D., M.D., David J. M.D., Ph.D., M.D., J. M.D., Ph.D., M.D., Ph.D., de M.D., Ph.D., for the Care University Medical Center, The Department of Anesthesiology and Intensive Care, San General Hospital, and Intensive Care University Medical Center, The is to are to a target in ventilated compared to a A of with an expected ventilation of at were randomized to a to target a to target in the and in the had to in the Intensive Care and by M.D., M.D., M.D., M.D., M.D., Daniel M.D., N. M.D., M.D.Departments of Critical Care, and Pain Medicine and of Critical Care and Medicine Medical Center, Harvard Medical School, Boston, mechanical ventilation is in critically driving pressure driving pressure to is a of lung injury. The hypothesis that and are at risk of mechanical ventilation with driving pressure during the of was tested in a of to the who mechanical ventilation for at clinically tidal respiratory system compliance and resulted in risk of driving pressures compared to Study of The by Philip M.D., Ph.D., M.D., J. M.D., Michael M.D., B.S., B.S., B.S., B.S., John R. M.D., of Anesthesia and Perioperative Care and of Critical Care Medicine University of California San Francisco San Francisco, as of the by at to in The is a designed to and in in in to clinical and were in critically was the and The of in this was the of on is of Pressure to Intraoperative during by M.D., M.D., Maxime Cannesson, M.D., Ph.D.Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, pressure of were with both a model that pressure to hypotension and a model that a pressure and Intraoperative hypotension was as an of pressure that was during a The of the and were at and the of the hypotension of the model was that of the model and increased compared to that of the model as October 15, 2023, South T. M.D., M.Sc., Editor, Anesthesiology, Stanford Medicine, Stanford, California; M.D., Ph.D., Editor, Anesthesiology, Harvard Medical School, Brigham and Women’s Hospital, Boston, in is the highest of and in are of the in of medicine. The of will research to and with a on the of research on and to and research on In to the of pain in the will be for risk and of will be in and and to by M.D., of School of Medicine, We the in California and What for the by Medicine, Stanford, as a of to by University, and in a a Research by M.D.Department of Anesthesiology, Perioperative and Pain Children’s Hospital, Stanford for Biomedical Stanford University, Stanford, for the of during A by M.D., T. M.D., Jessica R. Ansari, M.D.Department of Anesthesiology, Stanford University, Palo Alto, California Stanford University, Palo Alto, California Stanford University School of Medicine, Stanford, California and Stanford University Medical Center, Pacifica, California Model of to during by M.D., Ph.D., B.S., B.S., Ph.D., M.D., Ph.D.Department of Anesthesiology, Brigham and Women’s Hospital, Boston, Massachusetts and Harvard University, Boston, Massachusetts Receptor Potential Vanilloid-4 (TRPV4) Agonists Induce Contraction in Human Uterine Smooth Muscle Cells: A Translational Approach to Assessing a Novel Uterotonic Agent” by Leziga Obiyo, M.D., M.P.H., Daiana Fornes, Ph.D., Lihua Ying, Ph.D., David N. Cornfield, M.D., Jessica R. Ansari, M.D.Department of Anesthesia and Critical Care, University of Chicago, Chicago, Illinois (L.O.); Stanford University, Palo Alto, California (D.F., L.Y.); Department of Pediatrics, Stanford University, Palo Alto, California (D.N.C.); and Department of Anesthesiology, Stanford University Medical Center, Pacifica, California of with in by M.D., M.D., Ph.D., M.D., M.D., M.S., Ph.D., J. M.D., of Anesthesiology and Perioperative Medicine, University of Medical Center, Department of Anesthesiology, Medicine, New York, New York and Department of and University of Medical Center, of on after A by M.D., M.D., M.D., Ph.D., Ph.D., M.Sc., M.D., Ph.D., M.D., Ph.D., M.D., Ph.D., Ph.D., M.D., University of of Health in in the A by B.S., B.S., Ph.D., M.D., M.D., M.D., Medical New York New York Department of Anesthesiology, Medicine, New York New York and Department of and Medicine, New York New York October 15, 2023, South 213/214Michael J. Avram, Ph.D., Assistant Editor-in-Chief, Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, P. Rathmell, M.D., M.B.A., Interim Co-Editor-in-Chief, Anesthesiology, Harvard Medical School, Brigham and Women’s Hospital, Boston, Deborah J. Culley, M.D., Interim Co-Editor-in-Chief, Anesthesiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, editors of Anesthesiology have organized this session to provide an of of the in the in the October 2023, South J. Culley, M.D., Interim Co-Editor-in-Chief, Anesthesiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; James P. Rathmell, M.D., M.B.A., Interim Co-Editor-in-Chief, Anesthesiology, Harvard Medical School, Brigham and Women’s Hospital, Boston, by Anesthesiology, the ASA in Research and the James M.D., will be at the of will on research The for Anesthesia and Research in Research and the of the ASA Research will be There will be a on the for Anesthesia and Research October 2023, 1:15pmto 3:15pmRoom South Vidal Melo, M.D., Ph.D., Editor, Anesthesiology, Columbia University Irving Medical Center, New York, New M.D., Ph.D., Editor, Anesthesiology, University of School of Medicine, session, which is sponsored by Anesthesiology, will of four clinical in major by one of the authors and by a by another will on the and providing in the on those and aspects of implementation and results will be by a response from the versus for in by T. M.D., Anesthesiology, Stanford Medicine, Stanford, M.D., M.S., University of School of Medicine, and Positive End-expiratory Pressure and Postoperative during General A by M.D., M.Sc., Harvard Medical School and Massachusetts General Hospital, Boston, of the and Postoperative for by M.D., of Toronto, Toronto, Ontario, M.D., Ph.D., University of School of Medicine, for Surgery in A by M.D., University Medical Center, Research Institute, M.D., University of and Children’s Hospital at

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.494
Threshold uncertainty score0.721

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0020.001
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4940.434

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.

Opus teacher head0.023
GPT teacher head0.283
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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