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Preauricular Sinus

2009· book-chapter· en· W4254979289 on OpenAlexaff
Markus Braun‐Falco, Henry J. Mankin, Sharon L. Wenger, Stephan DiSean Kendall, Gerard C. Blobe, Christoph K. Weber, Richard Lorenz, Guido Adler, David C. Whitcomb, Dhiraj Yadav, Johannes G. Bode, Martin Wabitsch, Klaus‐Michael Debatin, Pamela Fischer Posovzsky, Akmal Hassan, Mosaad Megahed, Tord M. Lundgren, Markus Pfister, Hans‐Peter Zenner, Rossana Berardi, Chiara Pierantoni, Mario Scartozzi, Stefano Cascinu, Geoffrey N. Hendy, Johannes Schwarz, Alexander Storch, John‐John B. Schnog, Victor E. A. Gerdes, Susanne A. Schneider, Kailash P. Bhatia, Adriana C. Gittenberger–de Groot, Regina Bökenkamp, Marco C. DeRuiter, Alexander K. C. Leung, Andrew L. Wong, Undine E. Lang, Alexander K. C. Leung, Muammer Seyhan, Silke Hofmann, Leena Bruckner‐Tuderman, Peter Kopp, Douglas Forrest, Emine Dibek Mısırlıoğlu, Nursel Alpan, Mark Oette, Massimo Imazio, Kavitha M. Chinnaiyan, Laxmi S. Mehta, Mushtaq A. Bhat, Javeed I. Bhat, Gerald Stöber, André Reis, Jan Rémi, Soheyl Noachtar, Karin Jurkat‐Rott, Frank Lehmann‐Horn, Marinella Holzhausen, Nathalie Vergnolle, Martin Schillinger, Hans‐Jürgen Gdynia, Albert C. Ludolph, Thomas Namdar, Claus Ferdinand Eisenberger, Wolfram Trudo Knoefel, Pere Ginès, Mónica Guevara, Antonio L. Cuesta‐Muñoz, Henk Eijer, Markus Böhm, Thomas A. Luger, Flemming Güttler, Per Guldberg, Richard Koch, Kathryn Moseley, Karel Pacák, James V. Leonard, Jaak Jaeken, Michael A. Becker, Ulrich Stephani, Kendall S. Frazier, Reginald S. Sauve, Verena Matejas, Martin Zenker, William Lane M. Robson, Stefan Beissert, Tom Y. Woo, Hugo Ten Cate, Richard W. Light, Patrı́cia T. Bozza, Jorge I. Salluh, Michael A. Jantz, Sergio L. Vargas, Rade Tomic, Jesse Roman, Abdullah F. Mobeireek, Mohammad Khalid, Harrys A. Torres, Roy F. Chemaly, Angela Dispenzieri, Sabine Krause, Hanns Lochmüller, Julia Weihrauch, Thomas Krieg, Wolfgang Kühn, Gerd Walz, Georg H. Merker, Ralf Kubitz, Dieter Häussinger, Giovanna Musco, Guido Stoll, Klaus V. Toyka, Elena Pischik, Raili Kauppinen, Jorge Frank, Thomas Schwarz, Manish Thapar, Herbert L. Bonkovsky, Jeffrey C. Wagner, A. Gordon Smith, Maria Mela, Ulrich Thalheimer, Dimitrios Samonakis, Andrew K. Burroughs, Yogesh M. Shastri, Jürgen M. Stein, Ronnen H. Segman, Arieh Y. Shalev, Giris Jacob, David Robertson, Katja Lampinen, Karolina Kublickiene, Risto Kaaja, Radosław Lenarczyk, Oskar Kowalski, Zbigniew Kalarus, Dan Wichterle, Jamie Maguire, István Módy, Katrien Janssens, Filip Vanhoenacker, Wim Van Hul, Karel Geboes, Gert Van Assche, Jo H. M. Berden, Toin H. Van Kuppevelt, Angelique L. Rops, Christina M. Ambros‐Rudolph, Valéria Lamounier‐Zepter, Christie P. Thomas, Christian A. Koch, Lee S. Weinstein, Caroline Silve, Jouni Uitto, Qiujie Jiang, Orhan Yıldız, Üner Kayabaş, Richard G. Hegele, Jean‐Nicolas Tournier, Ahmet Mesrur Halefoğlu, Mary Redmond Hutson, Margaret L. Kirby, Fumito Okada, Asami Ono, Hiromu Mori, Timothy M. Moore, Mary I. Townsley, Maria-T. Krauth, Ingrid Pabinger, Manfred Ballmann, Terence K. Trow, Vallerie V. McLaughlin, Atteyet-Alla Fetouh Yassin, Anselm Uebing, Michael Α. Gatzoulis, Helena M. Gardiner, K. Lucia, T. S. Patrick, Lourdes Prieto, Larry Latson, Nancy R. Keller, Lynette D. Fairbanks, H. Anne Simmonds, Martina Brunner, Christos C. Zouboulis, Vincent Everts, Miep Helfrich, Peter Von Den Driesch, Roland Bitsch, Àngels García‐Cazorla, Jean Marie Saudubray

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicHead and Neck Anomalies
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineSinus (botany)BiologyZoology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

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
Published2009
Admission routes1
Has abstractno

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